{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "77f00163",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.datasets import load_iris"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75cea86c",
   "metadata": {},
   "source": [
    "### Loading Iris Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a6164af0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "0                5.1               3.5                1.4               0.2   \n",
       "1                4.9               3.0                1.4               0.2   \n",
       "2                4.7               3.2                1.3               0.2   \n",
       "3                4.6               3.1                1.5               0.2   \n",
       "4                5.0               3.6                1.4               0.2   \n",
       "\n",
       "   target  \n",
       "0     0.0  \n",
       "1     0.0  \n",
       "2     0.0  \n",
       "3     0.0  \n",
       "4     0.0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris = load_iris()\n",
    "# using np.c to concatenate `data` and `target`\n",
    "df = pd.DataFrame(data=np.c_[iris['data'], iris['target']], \n",
    "                  columns=iris['feature_names'] + ['target'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b996d58b",
   "metadata": {},
   "source": [
    "### Using `info()` to get some metadata of the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e6cd3119",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 150 entries, 0 to 149\n",
      "Data columns (total 5 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   sepal length (cm)  150 non-null    float64\n",
      " 1   sepal width (cm)   150 non-null    float64\n",
      " 2   petal length (cm)  150 non-null    float64\n",
      " 3   petal width (cm)   150 non-null    float64\n",
      " 4   target             150 non-null    float64\n",
      "dtypes: float64(5)\n",
      "memory usage: 6.0 KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d01cb634",
   "metadata": {},
   "source": [
    "### Plotting distributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f7f53beb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Column name:  sepal length (cm)\n"
     ]
    },
    {
     "data": {
      "image/png": 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q6v/M22zq52zMurqdBHy5qr46r737d2yxujqtAR6RZA3wSOC2eetPYfQfLsD5wElJstjBVn0AA38E/Hvg/iW2ef7wFuz8JOuX2G5fKuBjSa4ebsuebx1wy5zl7UNbd10AT03ymSR/nuQfT6EmgGOAncB/Hy4nnZXkUfO26Thn49QFPedstxcB5y7Q3vU7tttidUHD+aqqW4E3AF8DdgB3V9XH5m32wDmrql3A3cDfW+yYqzqAk/wMcEdVXb3EZh8Ejq6qfwJcwnf/d5u0p1XVkxjNGvcrSX5iSv3uyZ7quobRW8YfAd4CfGBKda0BngS8raqOB74FzMJUp+PU1XXOyOhmqOcA759Wn+PYQ10t5yvJEYxGuMcA3w88Ksm/2ptjruoABk4EnpPkZkazsv1kkj+Zu0FVfaOqvj0sngU8eRqFDf/bUlV3ABcymkVurpZbuvdUV1XdU1V/Mzz/CHBQksdMui5Go7PtVXXVsHw+o+Cbq+Oc7bGuxnMGo/9Ir6mq2xdY1zltwKJ1NZ6vZwJ/XVU7q+r/ARcAm+Zt88A5Gy5TfB/wjcUOuKoDuKp+vaoeW1VHM3q78/GqetD/aPOueT0HuGnSdSV5VJLDdj8HngXcMG+zi4CfH/5S/RRGb4d2dNeV5B/svuaV5ARGv2OL/gLuK1X1deCWJE8Ymk4CPjtvs6mfs3Hq6jpng9NY/G3+1M/XOHU1nq+vAU9J8sih/5N4aB5cBJw+PH8Bo0xZ9G63mZ0NrVOS/wxsq6qLgH+b5DnALuAuRp+KmLQjgQuH37E1wHuq6uIk/xqgqt4OfITRX6m/BPwt8AszUtcLgH+TZBfwd8CLlvoF3MdeDrx7ePv6FeAXZuCcjVNXyzkb/hP9KWDLnLb28zVGXS3nq6quSnI+o0sgu4BPA1vn5cU7gf+R5EuM8uJFSx3TW5ElqcmqvgQhSZ0MYElqYgBLUhMDWJKaGMCS1MQA1n5nmA1roZnrFmzfB/09N8mxc5Y/kWSPX8CY5Kh9UU+StUku3tvjaPYYwNKePRc4dk8bLeCVwDv2tvOq2gnsSHLi3h5Ls8UA1j433DH34WGylBuSnDq0PznJ5cNEPh/dfZfhMKL8LxnN7XrDcHcTSU5I8slhEpsr59xNNm4NZyf51LD/KUP7GUkuSHJxki8m+YM5+7wkyReGfd6R5K1JNjG6A/IPh/oeN2z+s8N2X0jy44uU8Xzg4uHYByZ5w/D6rkvy8qH95iS/Oxx7W5InDefmy7tvPhh8APi5cV+/9g/eCadJOBm4rap+GkZTMiY5iNHEKadU1c4hlH8b+MVhn0dW1XEZTe5zNvBE4HPAj9foi1yfCfwOo1Abx28wug30F5McDnwqyV8M644Djge+DXw+yVuA+4D/yGiehnuBjwOfqaork1zEaP7Z84fXA7Cmqk5I8mzgNxnNE/CAJMcA35wzj8hm4GjguOH1PHrO5l8bXvubgXcxmqPkEEa3eb992GYb8PoxX7v2EwawJuF64I1Jfp9RcP3PJE9kFKqXDAF2IKMp/XY7F6CqrkjyvUNoHgack+TxjKbBPGgZNTyL0URLvzYsHwJsGJ5fWlV3AyT5LPADwGOAy6vqrqH9/cAPLXH8C4afVzMK1vmOYjQN5W7PZDRR967hdd41Z91Fw8/rgUOr6l7g3iTfTnL4MH/wHYxm4NIKYgBrn6uqL2T09TXPBl6f5FJGM6fdWFVPXWy3BZZ/C7isqp6X0Ve7fGIZZQR4flV9/kGNyY8xGvnudh8P79/B7mMstv/fMQr95Rzr/nm13T/n2IcMx9QK4jVg7XNJvh/426r6E+APGb2t/zywNsP3oSU5KA+eSHv3deKnMZp1625GU/ntnv7wjGWW8VHg5ckDs2Ydv4ft/wr4p0mOyGgawbmXOu5lNBpfji/w4JHxJcCW4djMuwQxjh/ioTPiaT9nAGsSfpjRNddrGV0ffX1VfYfRLFa/n+QzwLU8eC7V/5vk04yueb5kaPsD4HeH9uWOUn+L0SWL65LcOCwvapjn+HeATwH/i9F33909rH4v8Orhj3mPW/gIDznet4AvJ/nBoeksRtMZXje8/n+5vJfDM4APL3MfzThnQ1O7JJ8Afq2qHvIty1Ou49Cq+pthlHohcHZVXbgXx3se8OSq+g/7oLYrGP0B85t7eyzNDkfA0ne9bhi138Do228/sDcHG8L75r0tKsla4E2G78rjCFiSmjgClqQmBrAkNTGAJamJASxJTQxgSWry/wE7EACSXd4QZAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Column name:  sepal width (cm)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Column name:  petal length (cm)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Column name:  petal width (cm)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Column name:  target\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "def plot_dist_all(data):\n",
    "    \"\"\"\n",
    "    This function is used to plot the distribution \n",
    "    for each column of the input dataframe\n",
    "    \"\"\"\n",
    "    for col in data.columns:\n",
    "        print(\"Column name: \", col)\n",
    "        sns.displot(data[col])\n",
    "        plt.show()\n",
    "        print()\n",
    "        \n",
    "plot_dist_all(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a81ab06",
   "metadata": {},
   "source": [
    "### Pair wise feature plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "1a2a8c37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x2764aae4580>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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fsxQPPndAs08A0I1dcUFsC2PucoxWHM/BwRFH2YlRu93z7nFc9+AfZ+2/bdOFWLmwOpuq0IdagAv8ku2onpF+fNMFaFt8RvyuujZq5k8bvxFCbBJC1Ashzoh+0jlQSjkipaxJNbEjhLibPsWa+76hMeVafELyjWhMxYVL5mJJbSWOnpzdLyISyj6hF7sC6Me2kMIk2eY8HuE4OzFan96QYjwJ0c6diNPszYmonpH6h4y1kZnLMq+f+TdeEEViOik5IcTlGI2F0Nq/XhlvVMq1+KQgiUQkykuK0L5mKSIS+OXLR9AbCqNIQDffkdZ3AgIHBoYxryr9uD4u0ywMtPyx0/LKGa1PfaBMc9wIBjhuOBHG3KWmXtFGdX5jbWTa5E5KeaZZZRFCnIXRWAjV/qubarF5Q8us9eQtQT/X4pOCQ6uftK9uwrZdh9G6IKAZJxUVWkn+7rY1TfjCtt04fmoc933ivLTi+hiHVxio/PEVy+t0bSzXNFaXY8vGlrTHgeV1Vbj5sqZZ48nyOn+Oa07SgTF3qTmnrgo3f6gJd+6Is+n1LWiuqzJUjpkxdzcD+ImU8sTM39UArpdS/v9MOcEMXOdMbKYg1+IbXSuvt/+CQBk6ekKxX5BXNARwJDTKtfjmUZA26kZU/WTbpgvROn8OACjzHUXfxBwaHMGr757AL3ZNv/GLlvHUbZcgIqEb12djH2PMXQ7R88fR2DsH5D7EgYFhfPoHf4q9tZASeKKjG9//1PmGx5ksbZo+1AIYc5caA3GkOctz91kp5f3RP6SUx4UQnwVg6uSOEJJ7jOanSbV/UmAw89+QgkRl96MTU7EHbFW+o2gMVf9QGFufeWtWGX1D4Vh8FQC8+PYx9rECJZV/dUpeuf6hMA4NjuL+ZxPtOdNxhjgL3q/U6MWRrlyYfjlmTu6KhBBCzrwKFEIUASgxsXxCSAaYkcfIaCyE3tp6VZ47Vfm5zGNEiFno9bvod6MTU7htzVI8kvTWzUjOu/i+Ux/w4epVC1DkAap8XnS8exw9oTBqK0tR6vU4Kr6K5A4z89yp9jdrnDESk6W3v5X1JJlR5/ehbVEAN35wCUbHJlFe6sUPXzhAHxRHfaBMs42MxpGaObl7CsA2IcQDM39/bmYbIcQmzMp3pcqTpIrNWBAo04yFCFaWaOZwWd9Sr1n+gkAZ8xgR16HX74DZOepuW9OEh188FIuXM5LzLto3v/HUPlzX1oitO/ejurwEZcVFuOeZ/bH9v3pVM+746HJs+fU+R8RXkdyhimVbECgzJZb6iuV1eHpff9bjjNGYLNX+qusyq54kMxqqfLi2bRG+9OiehHiyBk7uYiydW6bZRkvnGotLNDPmzgNgE4DLZzb9FsB3pZRTppxgBq5zJjbjqrX4Zq5x18qTpBoQVevGH/7M+bhRI5/dj2+6AKsaq2eVv7f7hFV5jPIZV9loPqLX7wDtHHU//PT5qK0qNZzzbkltJSIRmdBXbr5sKR76w+z9//Xac7GvbwjnLZyDRTUVdr61YMxdDlHFsm39+Hma/tVoLPW2TRcaKkevnmbEdqvqY6Ce9KEWYCCHW8Hyp3cGNZ+RHv7M+Tj/zJr4XXMTcyeljAD495kPIcQBmLnGPRrjk85xqnXj/Yp8dv1DYc3yzVp/Tkgu0et3UpG/TkJiSW2lZmycXs67aM6yU+NTsX2E0N5/KDyBrc+8hZ9vuoAxLgWEKpZN5V+NxrgZLUevnlbWx6x6kswwK4dbPqN+RhozVE7WkzshxOMAHgTwlJRyIum7JQA+BeCglPJ72Z6LEGKMXOQx0sxnFyjTPG+dv1SxXZ3HSDNfF/MYEQejigWqrfRheGxSt09q9dlUOe+0jtPav6zEyzi7PEYVT6ayR5V/1Ytx09rfaDkqMont1q6PtfUkmaHKc2s0h1s+o35GKjVUjhlBK58FcAmA14UQfxZCPCmE2CmEeAfAAwBe5sSOEHuIxuP4iqe7utlxNtEYjCu3Po/rv/MSrtz6PJ7q6sOy2kps3tCScN7pfHZVmttXNAQ0y2+u92PLxsT9t2xsQXO99v6EOIFoLNBDfziA+3a+he8+fwC3rm7CkRMjaP/5K2hf3aTsk1p9NprzTq8fxx/3y5eP4LY1iee4a10zHn7hAOPs8hSVL45EpNIel9dVGRofVONJc73flHHG6Hilro92fzGrniQzzqmrwub1SeN/Bjnc8pnWoF+zjVqDxnI3mhZzBwBCiMUA6gGMAnhTSnnKtMJn4DpnYjOuW4tvJFbOKHoxD19/omta8Wl8EmUlXjz8wgF885pzNfPclZQUKc8RVcvsC4URDPjQXB+gmIo+rrPRfEPVLzZdugRbn3krQdVyzdnz0Dp/TkKf1OqzgDrnndZxdVU+nAxPoCcUxtzKUng9gL+sxCnqgIy5M5lM4jwzyXOnGk/MGmeMlmO0PmmWTx9qAXvePa75XPCVdc2MoY9jdHQCe/uG0D80hjp/KVqDfpSVFSfvlrM8d5BSHgRw0MwyCSHZYSRWzih6MQ+7DoWw69CrCd+p8tzp4fV6sHJhNWPsiGtQ9YvIzG+pvaFwLP7pg++rmfVwqeqzqfqx1nEr2G8KgkziPDPJc6eyTbPGGaPlGK2PleMh0Uf1XMAY+kTKyoqTxVMMY+rkjhCSv2jFc+jFYFxxzlz81YVn4vjIBM6oKMaP//iObmwD8w+RfEHVL5LNOVW8T3yfqA/4MBWZ/oFElTdPL6ce+1V+kypezaw8dyqMlmM0fynt2P0whj49wuFJ7O0NoW9oDEF/KVrrA/D5jE3XOLkjhKREL7+RVn66s+ZW4PLlDfjcj15OK5+NWfn4CHECWnkhv/2xcxGRkdjDTaocXvF9orq8BDdetCghb51e3rx0vmO/yi9S5SLV+q6xutwU+zDqvycnI4byl3J8yA+W103H3CfnuV1eZyyeLJ8JhyexY28v7tzRmfDstL613tAEz9SYu1zAdc7EZgpyLb5ePIdWzMYrh48bymdjZj4+Upg26jSSY3s8Avjr78/ONfb9T52fMoeXKm9dqngqve9s7leMubMAvXgyre8ODo6YYh9G/bcqD6oqf6kN4wN9qAUcGBjGlx7drRmLz3F+mj+/M4gbNPLc/egz5+MDduS5E0L8BYCvAlg0U64AIKWUS8w6ByHEHlLlH0qOYTCaz8bMfHyEOIHk2J4X3z6mmWssnRxeqrx1qeKpUsVakfxCL55M6zuz/K7RcozmL+X4kB/0D+nH4hOgzyl57uJ4CMDfAngZwJSJ5RJCcogqtq5tUWD6F7exSZSXevHDFw4oYzb08tmoytfKw8T8Q8RNaNk2MK1y6REiqxxeWsd6PR5UlxXH+k5VqRfLG6pw4tQ4ij0ezK0qYV6vAsJoXJpZeVD1/LeRPKjBgPHxgbF47oHjfGqCJuW5M3NyF5JS/sbE8gghOUYV27C6qRbXfmARvvTonoS18g1VPuX+WmvrW4J+5f43X9Y0a/8FgTK7m4SQtFD1nRKvwC0/fRXV5SW4bU3TrLi5VDm8bn9kdyxvXfyx7aub8He/2I1/vHI5brmsCV+J6zvtq5tw92/fxK2rm/DADavwuR+9ktY5iXvJJC6tsbocWza2zIp9U8WBqojm0UsuZ0GgTLNOly+bp3ne5XXa48Ply+YZKp+xeM5kQaCM43wKzg5WYPP6llkxd2cHjfnsrGPuhBCrZv57LYAiAL8CEHt/KKV8JasTJMF1zsRm8notviq24cc3XaCModPa/mT7JZr57I6ERg2Vr4rBILrktY06lVS57QCgPuDDx9oW4LyFc7CopsJQDq+g34djw+N4bv8ApiLAr145gt5QGO1rluLB52bH49108RI89IcD2PbZC1FVVmxJnsssYMydyWQSl3ZgYBif/kH6caBGz71t04WasXVPtl+CxuryWflLDx8/ZagcvfKzXOZHH2oBRmMtC5E/vTOILz66Z1af/JdrVianR7A85u7bSX+3xf1fAlhtwjkIITlAFdugiqFTbVflszNcPvPfEJeQKrcdMB1rtPWZt/DzTRek9fCZHCf1el9vbKIYJaKIq4vG6fUNhbGysZoxLXlOJnFp/UNhQ3GgRs+tiq2Llp+cv9RoOanKJ87CaKxlIdI/NKbZJ3MecyelvAwAhBBLpJQH4r8TQlBMhRATySS+wEg+IdWa+HrF9qDBNfSqGI+ganvAp6w/Yy2Ik0i27ehbuvlzynDL6qX45cvTb9qi9n5gYDjBdiMRGbPzBdVl8HmLMDA8hvISL8anplBTUTq9PamfFAnteLxldVVYVFOmmUOKfSf/yCSeyWgstcpG1PlOzRkfVDF69QF1zKCq/rR9+6gPlGk/RzDPXYw6f6lmG9kZc/cogFVJ234B4P0mnoOQgiWTmAqj+YRUsRPn1FVprpVvrqvS3F8Vs6HKxbSiIaAZg7Gstkqz/utbG/C7N44y1oI4hnjb1spL1766Cdt2HcZX1p2D13pPJtjuAzeswsDJcdyxvVP32C/99+X4l2tW4IuPdsS+WzqvEt/+2Ln4u1/sTtj/W0+/jps/1IRltVUJ9WTOsPxE5bv14ucWBMoMxVKrbGRBoEwzxvqsuZWmjA/N9X7F9oCh/H1XLK/D0/v6afs2cdbcCtz8oaZZ8WRnzeVb1ijLgtpttMyGmLuzATQD+CaAL8Z95QfwRSllc1YnSILrnInN2LYWP5OYCrPyCZkZ86DKxRR9Qxcfg9HVG9IsXy/Wj8txGC9iF1HbHjg5hr/+/uxcRds2XYjK0mJ89N7EPnbf9efh72cesFU57aIxdE/ccjFGxicT+onHI/DK4eOz4vG0+rpDckoy5s5kzBwfjPrXPe8eR/vPX50VJ/Ttj51r2E+rxgcj21X5+wyMV/ShFrDr4HuG8t8WIn96ZxA3auS5e/gz5+c85m4ZgHUA5gC4Km77SQCfNaF8Qggyi6kwK5+QmTEPqlxMXq9nVgyGsv7Me0QcSNS2Vf1odGIKp8anZn03MjYZ26bKaRfdfmxkDBcumTur/x4bHpsVj6fV15kzLD8xdXzIIG+dVpxQJn5aNT4Y2Z5pDCCxFqP5bwuRfqfkuZNSPgbgMSHERVLKF7MtjxCizjVnNCeRXj4hLcyMeTAD5XmZL4c4kGi/HZ2Ywm1rluKRXdNv0IBpuy0rLkKgrHhWbF79HB/a1yxFRAJlxR5Nm5cysW8l+witeDytvm5WbjPiLDKJuVOODwZtRBVLpcp3aqatGRkrrR6viD6qcbvOz/aPYlbMnbaqQmZ8QgixNenzdSHEBhPPQUjeE42JuXLr87j+Oy/hyq3P46muPjRWl+Pua8+Fr3i626aTs6q53o8tG1sSjtmysQXN9QHN/aMxD8nnWF5XpVnOslrt7UbzJBmuf9CPW1c34aE/HMB9O9/Cd58/gFtXN5l2XkKMEt9vP/ODXXjguQO48aJFsQfK9tVNaP/5q3it9yTu+8R5sYfNGy9ahE0/ehlbn5m248oSL27/8FkJNt++uglPdHTH+ruWjzg0OIp/uWZFyr6u6uPMfeduojF3Rnzi8roqbN6Q6F+j+UiN2MjymZjs+HPffFkTmg2WYxSjY2U0Ro+2bw/n1FXh5g8l2cmHmtBcV5X64ALhnJmYu+Q2OifXMXexgoR4EMDZmBZRAYC/BPAOgBoAB6SUXzDjPPm+znn+wkb0HHk34+OLiksxNWHs9W08DQsWovvdwxkfXwBYvhZfL3YiGk9gJGeVViybSi0T0I55ODg4opkPaevHz9OMtTCaJ8lo/VX5kBhzB4DxIrag6rffumYl9vWdTIiD+/Wtl0AIKGPzfv7ZC1FZ6p1RyyzCxFQEZ1SUxvq76lxa8XhafV0Vv5RDGHNnMpnmufvSo7un1TLHJ1FW4sXDLxzAN68519BYY/aYZcY1q86bpu3Th1oA89ylxkAbWR5zF2UFgL+QUk4BgBDi3wA8D+BiAHtNPE9e03PkXVz3wAsZH7/tcx/M+nhiL6liJ7TiDvTQimXTQxXDoBVToYq1MDOGQav+jBsiTkNlk6/3n0zoH+GJCAaGw7hwyVzlMeHJKZzbWI2lil+0Vcep4vGSUcUvEfeSaZ67XYdC2HXo1YTtRscas8esdMnkvLR9+2Ceu9SY1UZmTu6qAVQCCM38XQHgDCnllBAi81dJhBQYuYqJMSuPkaquRvLrGYVxQ8QuVP1GZZPxXSqa+250fAovH3wPEjJ2TH3Ah6tXLUCRBygr9iISkYb7Y23l7Px5lHjPPzKJyR4fn0JHTwh9Q2HU+31obQiY5kczifczA44D7sKoBkAhYlYbmRlz900Au4UQ3xdC/ADAqwD+RQhRAeB3Jp6HkLwmFzExqliFSER7mXY0j1FybMZZcys1Y+IaqnzYvqcb1z34R3z+x6/gugdfxPY93ZicjGiWbxTGDRE70Os3KptcsSCQEF/34HMH8Okf7MJfPfQS9vcN4/YPn4VFNWW44cJFeOgPB7D1mbdw3YMv6vZH1bneGRxOu08Td6KywQWBMmX88/j4FLZ39OCTD72EW376Kv7qoZewvaMHDVU+U/xoJvF+ZsBxwF00zS3H5vVJzxHrW9A0l/cryrLaSs02Ss5XmgrTYu4AQAhRD+D8mT//LKXsMa3wGfJ9nbMQwvZlmWbaRB6Sk7X4VsfEGI3P0Mtj9He/2J12fiMz19Y7IG7IqTBexCJS9RstmwSgm/vutjVNWFhdHstzp1WuFsnn8ghg7T2uiUNlzF2G6OUiVcU/vzcyrswvtqqxOms/amfuRIvGAfpQC/jzO4P4+0f3zLLRb12zEh9IzOFWsKietbZ+/DzbYu6A6TeBAzPlLhVCLJVSPpfqICHEHADfBdACQAL4DNMqkELG6rgAo/EZenmMjOQ3MnNtPWMnSK5J1W9UNqmX+25kfAqv95/MOh/Yi28fYxxqAaCXw00V/3xseFyZX8wMP2pnDDTHAffQNzSmaaNGc7jlM8pnLbti7oQQ3wBwHYAuANFeLgGknNwBuAfAU1LKa4QQJQCoZ04KGivj1QD9WAWteA69fEiq/EZa281cW28kZpAQM8gkxifalycjUvPYipIiLKwuj+W5++XLp1U1BQT2vHsC41NTqIlTyzSrbsQZWB3/XOzRzp1Y51fHRhsZg+yKuSPuIugvVdihsRxu+YwqZ6TRZycz39xtBLBMSmloCi6ECAC4FMCnAEBKOQ5g3MR6EeIqJicj2L6nG3ds70R4IhKLndi4cr5pE7xorMLtj+yOnePua89FY3U5nurqm7X98mXzsGVjy6w6tczkm0vefs5M3qM7Hzu9ffOGFiyv85tS/2jcSXI91zYHOcEjltFYXa7ZD1SxRfF9ubq8BLetacI9z+yPHfvltWdjbCoSW5IZzWm3bddhfPwDjfjCtt04fmo8tu0f1i5X2riqTzP+yNkY9WWq+xzN4aZ1/6Mx08n+uLmuSnOsWddcjye6etMeg6Ixd+n2C1KYLA9WYPP6Fty5I84O17dgucEcbvnMstpK3PyhplltZFvMnRDiNwA+JqUcNnjcuQAeBPAagJUAXgZwm5RyRGv/fF/nzJg7x2P5Wvxc5YJR5bNTxU40VpennW9u26YLNa/BrBgMO2M8XADjRSziwMCwZr5HVV7H5L4cVctsbQiguqIEY5NTuOmHuzRz4/3vJ/ehNxSObbvp4iV46A8HDMXhOfhtNmPuZsjEl6nus979j6plRt8OrmgIYF//kKaf/tFnzscN35sdH6oag/LQH9OHWgBj7lLjxDx3pzCtlvkMgNjbOylle4rjvABWAbhVSvmSEOIeAP8TwFeiOwghNgHYBACNjY0mVpkQczDTRnOVC0aVz04vdiLdfHOqazArBoN57oxDP5o9qnyPerGq8XbaGwpj6zNv4YFPrkLb4jOUcXKv95+MTeyi24QwHofnJgrVPjPxZar7rHf/S0qK0Lb4jIRtyrFmaMzQGFQo/rhQbdQsGHOXGifmudsx8zHKEQBHpJQvzfz9KKYndzGklA9i+u0e2tra+FqJOA4zbdTOXDBG43bU8R/a68b1YjDMiDthjIca+tHsMZpfLlVfTpUbLz73XdO8KiyqKctbGy9U+7TTl6ljqbVjo1RjUKHE3BWqjZoFY+5SY1bMnWkKDVLKHwJ4BMAfpZQ/jH7SOK4PwLtCiGUzm9ZgeokmIQVJc71fM19Rc33A8nMbzRuk2n9ZbSVuviwx79HNlzVhQaBMsxyjefeY34jYgdH8cqn6cjSGL/n7FQsCs3LfffHRPTnJHUZyi52+bHldlWb+0pagsTFoQaDMkL8nhUlzsEozh1tz0Fg8WT6zfEavILkvGdUrMFMt8yoA3wJQAuDMmVi6zVLK9WkcfiuAn8woZR4A8Gmz6kWI2/B6Pdi4cj6a5lUmxLeZqZapwuMRWNscxNntl6QVt6Paf2/3iVjwPjC9rODOxzqxrK5SM2bj4OBITAgguv/tj+zG2YqYDaP1JMQMtOwuOb9csu3q9eXDx0/h3p37cdPFS2IxKPfu3I8ffvp8bP34eQmxF+GJCO7Y3olVjdV5tdSt0LHTlx0JjeKRPx/CN69ZidHxSZSVePHwCwfQtqja0Bi0r3/IkL8nhcn+YyP43b4ePHDD+3Hi1ATmlBfjJ398B8uClVi5sMTu6jmCI6FRzb7UtsiY3zdzWeZXMZ3A/PcAIKXcLYRYks6BUsrdANpMrAshrsbr9cyKb8sVRuN2tPY3um7czLgTQqzEaH45vb6siuHrGwpDShREHBOxz5f1D4Wx61AIuw69mrBdFWOtIldx4sTd9IbCePq1Y3j6tWMJ2/9yVSPtZAaz4lfNnNxNSClDQiT82hRR7UwIsRdVjFs4PIm9vSH0DY0h6C9Fa30APp/XUEyc0bjBfIihy8e8e/l4TZkQ3w71AR+mItMPwOUlXkxGIrhtzVI8sutIgrplOrabyu7d3idyhdvt1Gj9zcqDapbf1fP3VudsVWGHTbjdDq2mPlCGtkUB3PjBJRgdm0R5qRc/fOFATvQE3IJZfdLMyV2XEOITAIqEEE0A2gFkrslvE/MXNqLnyLsZH9+wYCG63z1sYo0IMR9VbqXLls7F4519s3KsXNUSxLNvHUs7F1M01ig575EqZsPtObryMe9ePl5TJsS3Q3V5CW68aFFCrrr21U3YvrsbN160CA+/eAjHT42nbbt6dj8+PqWZE6qBk7sE3G6nRutvZh5Us/yuyt8vq9XOo2dmzlYt7LAJt9thLjhrbgWubVuEL8Xl9dy8vgVnzeVKhCgNVT5T/L6Zee7KAfwvAFdgOv/CfwL4upQyrHugQazOLWJGnrls2pR57hxPXuS/UeUlevgz5+NGjfxGqu16eYyiv9imGzfoohxds3BYnidTbNRh12Qb8e1w82VL8dAfDsxqk2gOuh9++nzUVpUasl2V3e86+B7+7he7Z+WE+vbHzp0lae9CTMtz53Y7NVp/s/OgmuV3tfx9V28oJzlbkzHBJgz7ULfbYS7YdfA9fPKhl2a10Y9vuiAffJopGPD7uclzJ6U8henJ3f8yq0xCiDWo1nX3K/IbqbbrrQM3Gjfo5hi6fMzzlI/XlAnx7RDNNRdPfA46CWm4bVR236eIx+sfMvX3Utfjdjs1Wn+z49vM8rta/t6uWDw7bMLtdpgL+pTPHfRpUczy+1lP7oQQjwNQvupJUy2TEGIRWnEAqnXddTp5aFTrwFVxBm6PP3Bi3r1ctmmqa9KqCwDX3fNUbZrcDtH/x+egWzE/gAdveD/eGxnHnndPJMQVZXLPIhGJuipVX+SyzHj07NQNvslojji9PFjj41Po6AmhbyiMer8PrQ0BlJQU5ehKtOuqisWz8h7YEcNd5/dpxpMxRvY09X4frjhnLv7qwjNxfGQCZ1QU48d/fIc+LY565bNZ7mPuvmVCGYQQC1DFAVy+bJ5mjETLTB6a5PXezcFKbN7QEpPojeZDaqjyaZZ/xfI6PL2v37XxB0bjJ3IRM5jrmA69a9Kqy32fOA/jk9JV9zydNo1vh1++fAS3rWnCz/98GNe1NWLrztOxd7etaYrF3EXjijweYfieRev0vT+8jbvWNeNrT3Ql9LkVDdbnu3QTKjttrC53hW9qrC7HraubZvliVT7DaB6sZF/cNLcC2zt6Zm3fuKLBtgmeKhZveZ3fUl9mRwz3gkAZrv1AUjzZhhbm+otjWV05Ll/egM/96OWE54uz65i7M0pz0K/5DNYSNJbnzrSYu1zBmLvU52fMnaW4KuZOFQewbdOFaP/5q7PWdX//U+ejocqHvb0h9A+NoW5GLfONgZOa+3/7Y+dqrqHftulCzVgLt8QfZBI/YXXMoIE6mWajqmvSqkv7mqV48LnZ8WhOvufptml8OwT9PoROTeC678y275suXoL7n30r1geqfMWG7Si+Tivm+/E3l74P4fFJnDm3Aivnz7H1TYyJmBZzB2jb6cHBEaXvc5JvMuprVPv/6DPn4waNuGi745m0YvEOHz9leXxalv7YsA81OxYyH/nTO4PKmP7zz6yxsWbO4cDAML706O7pN8BxuSe/ec25hsZ5M9UyCSEOQxUH0BvSXtcdjQ/4QJKjVe2vWkOvirVwS/yBE/Pu2RHTobomrbpEXJiXLd02TTe3XXSZXDSu6NT4lOE2ia9TR/cQ2n82nYPs55suyJeJnelo2ame73OSnRrt16r9+5Tx0vbGM2nF4uXCl+U6hpu5/lKjF9NPpkmVezJdOLkjJI9RxR7UB4zFqSjjPDIo3w04Me+ek+qkVZci4b68bKo2LSsuQiQiY7/0J/eJeVXax0UXPUTjiqp8xWnHU0XPMToxlXHePHKaTHyfHRiNGVTtH1TGS+tflx3xh0bjDN2A0dyuhYheTD+Zxqy+YX0mSUKIbTRWl2PLxhb4iqe7enzMw93XnpuwPT5O5cqtz+P677yEK7c+j6e6+rCsthI3X9aEh/5wAPftfAvfff4Abr6sCc11VZrlnzV3OkYvfrub4g+iMRvJ7WNn3j0n1UmrLq0LAo6pX7poXUf76ia0//xVPNXVh0hExmLg4vvEkRMjs+z+tjVN+NUrR2K2vrzOH4uniu83t65umhVPFX+Oz/xgFx547gBuvGhRbCLi9HZ0Iqr+0lzvLDtV1VPlixuryzX3PydYic3rk3zu+hacU6f+tV/LtqN2byXp9gs3EY0vTB4LVbldC5GzgxWaNnp2kL4till9I+uYu1yrZTo+5u7/uRSITGZVB8bcORrXxdx9+gd/0oyti8alZBOnoord+/bHztXM1bL14+e5Jv7AiXn30qxTTmxUqy4AHNdmqYhEJPZ2n8Azrx/FVAT41SvTb8yiMUAANOMLH9vdjXUr5qOxugwj45OYX12OE6fGE2IktI7Vii1SxVFlkjfPJZgac6dC1V+c1reNxAw+2X6Jpu9+5fBx/J/fvDYrVud/fuQcZcydXbnZXJATLiMfajS3a6Hxp3cG8d3n38JfXXgmTpyawJzyYvzkj+/gby5Zypi7GcyKradaptlEJrOeXBFiFv2KnCnR9dvZxqnoxeJpbndR/IET8+45qU6qujilfuni8QicGp/C1mcSbTUaAyQ1YgkjEjH7vmX1Uty3M/FYAMpjtWKLVP0uk7x55DQqG3VSPwKMxQyqfHefIlZHL+bOrtxs+ZoTzmhu10Kjf2gMT792DE+/dixh+1VssBhm9Y2sJ3dSyv/KtgxCSHqo4iOivxj2hsKoD5TF8mzprd82Es+hiidQxa+ocrXkIv7ASTmsUuGWusbXc16VD0WeaQEBJ9fZCMl2Xx/w4WNtCzA6PgW/rxj/+JFlGBqbwi9fPgIAOLuuCu1rliIigbJij6at11b6MDw2Edvvly+ffiOYHD/hpHhKN6Lyf25B5YuN+O5M8mPZZXf5au9ut0OrYcxdaszqG6YJqgghmgD8M4BzAMRqIaVcYtY5CClk9HLW7djbMyuX0MaV85U5lBYEypQ5oLTyAzXX+xXbA5rbWxsCmvmNrI4/yHUuuGxwS1216hmf082JdTZKfF6s6vIS3HjRItzzzOkcdu2rm/D4nm58/tIlGJuK4O/jcll9ee3ZuP3DZ+Hu376ZcB/fGRzGLT99NaGMbbsO4x/WLp8V32VHXq58YXIygu17ujX9nxserPX8uhHf/aGlNdo5SuuqlOe2y+7y0d7dboe5IBpzl2yjjLk7jVl9w7Q8d0KIPwC4C8C/ArgKwKcBeKSUd5pyghkcH3NnQsyb3ccz5k4X22LuVGuxf3zTBcpcc6o8W3q5nrTiOfTiVFTb7Yg/cEEsRwwL62qqjarqGZ/TzYnta5SoHQ+cHMNff392LqabLl6CIg80c/n9/LPTfW1geLoPeASw9h7tftc6f47mRNhpcWAWY1rMndvzi+nlIlVdl9b2H990QUZxznbZncPtnXnuLOBP7wzii4/umWWj/3LNSsbcxWFGbL2ZqRDKpJTPCCGElPIQgK8KIV4GYOrkjpBCRZ3fSJ1fR5VnK1WuJyNxKqrtdsQfuCmWwy11VdUzPqeb0+qcCVE71rteVS6//qEwzm2sxvvm6efBG52YUj7AOi0OzC24Pb9YJnHOqnEgkzhnu+wu3+zd7XaYC/qHxjRtlHnuEjGjb5g5uRsTQngA7BdC3AKgG0B+9FpCHIAyHk4nvq3KV2wohs7MmAer48m04hsyWa9utJ5mxVW4Je5EVc/4nG5ejweTk9Pfuz3mRO96vR7tXH7JsaTp5s8j2ZNJfrHx8Sl09ITQNxRGvd+H1oaAbQnijebjU15vhnHObon7dTrMc5caxtzlDjNH3dsAlANoB/B+ADcA+GsTyyekoFHlQ4rGt2nl11HnetLOc2dWzIPV+ZOi8Q3XPfhHfP7Hr+C6B1/E9j3dWBAoM3RdRuupOm90YmMEJ+Wt00MrV2J8Trf21U34u1/sxvY93fhNV68pbWMnqtx3T3R0o3WBuq+lU0Z8/jxiDstqtfO7LavVjjUbH5/C9o4efPKhl3DLT1/FXz30ErZ39GB8fCqX1Y5hNB+fynev0BkHVNiV5y4fWTq3TNMOl851b+4+s2kJVmm2UUtQHRdKMsO0mLtYgUL4AUgp5UlTC56BMXfWH8+YO11szXOXSXybHbmerI5904tvaJ0/J+3rMlpPs+MqLLoHpsfcxedK9Hk9OKuuCp09oVl54TZduiQhpYBbY07i32aUlxRhYiqCMyqm881FIjKtWNJU+fPyZTlahpgac/f1J7pm5Xf7yrpmTbvbdfA9zRjlH990gTIfnNUY9dFmxTm7KUY5xxj2oX96ZxDffGrfLDv80trljCeb4cDAML706O5ZbfTNa84tdHvLhNzE3Akh2gB8H0DVzN8hAJ+RUr5s1jmI85m/sBE9R97NqoyGBQvR/e5hk2qUX2QS32ZHrier48n04xvSvy6j9TQ7rsINcSdauRK1cruFJyJI/sHfrTEnevfF4xFpxZKmyp/n5HvuJnpD2vndVHanilHWywdnNUZ9tFlxzm6J+3UD/UNjijyDjCeL0q/IxUh7Mx8zY+6+B+D/lVI+DwBCiIsxPdlbYeI5iMPpOfJuVm8OASZyzwesjiczK75BL5eUled1E1r3skhAs92SXzrme9ukwi1xlW6mPlCmaYsqu8skH1y+Qvs0jzp/qaYdMp7sNLS33GFmzN1UdGIHAFLKPwCYNLF8QohLsDqerLnebzi+RItoHsCH/nAA9+18C999/gBuXd2ExmrtOAmzzusmtO7lqkVzcPNlie1282VNaG7wF1TbpMItcZVuZnldlaYtLq/za+7f2hDA5g1JcT8bWrCiofDslPZpHi3BKtz8oSQ7/FAT48nioL3lDjPf3P2XEOIBAD8DIAFcB+D3QohVACClfMXEcxFCHIzHI7C2OYiz2y+xJKbP6/Vg48r5aJpXmVUevcPHT8WSzgLTS5Lu2N6JVY3VmstEzDqvm9C6l1ICn/vRKwntdudjnXjilouxbdOFBdM2qbC6HxDgSGgUdz7WOcsW2xZp9+GSkiJsXNGAJXMrYgqRK2xUy7QT2qd59A2Px5JzAzN2uKMTbYursaSsxObaOQPaW+4wc3K3cubfu5K2n4fpyd5qE89FCHE4VseTmZFHL5OYEzvy99lN8r1U5XE7NjKGC5fMLai2SYUb4irdTCZ9uKSkyDbxFKdB+zQHxi+mB+0tN5g2uZNSXmZWWYQQ+3BL3iNVPY3UP1cxAG5p03SIRCTKS7wFFTuRT/fPzWjdB8bxpAdt2Fpoh+lBO8wNZqpl1gH4JwANUsqPCCHOAXCRlPIhs85BCLGWaN6j2x/ZjfBEJLYmfm1z0FEOWFXPK5bX4el9/WnXPxoDkLy/mTEAbmnTdIhey/f+8DbuWteMrz3RFbumzRtasCBQZncVTSef7p+bUd2H1U212LyhJbY0M59tMVNow9bTUOXD5vUtsaWZ0RxuDZzcxaAd5g4zgyF+AOA/ATTM/P0mgC+YWD4hxGIODo7EHC8wvazk9kd24+DgiM01S0RVz67ekKH6R2MAnmy/BD/fdAGebL/E9IHGLW2aDtFruWBJLf79ubdw08VLcMvqpbjp4iW4/9n92Nc/ZHcVTSef7p+bUd2Hzr4h3P/s/oKwxUyhDVtPZ98Q7v99kh3+fj86+2iHUWiHucPMmLu5UspHhBBfBgAp5aQQYsrE8gkhFuOWuAFVPVV56PTqb3UMgFvaNB2i1yIEZuW+A9S5xdxMPt0/N6O6D30aeRiB/LTFTKENW4/KDu3Mn+g0aIe5w8zJ3YgQogbT4ikQQlwIIGRi+SQXeLwQgq/H8wknxqAZQRVno5VTqD5gvP6q9hkfn0JHTwh9Q2HU+31ozVBRz4ltminRawES89xVlhZBSsAjBPa8ewLjU1OoqSiNLW/NVYyFFfEc+XT/3IzqPgT9PrQtCuDGDy7B6Ngkyku9+OELBxAM+DA5GUFXbwi9oTDqA2VorvfD6/UotzstHsis+tCGrafe78MV58zFX114Jo6PTOCMimL8+I/vFGT+RBVG88qSzDFzcnc7gB0A3ieE+P8A1AK4xsTySS6ITGaVhJwJyJ2F0TXuuYhBM4Kq/pcvm4dbVzfF0hhEc6qdNbfSUPyNXhzPjs7eWeVsXNFgeILntDbNhgWBMmze0IJH/nwIn790Kb72RBeqy0tw40WLcM8z+2PX1766Cdt2HcZX1p2D8UmZkxgLq+I58un+uRnVfTinrhLXti3Clx7dkxDrtHRuObbv6Z7lI9Y11+OJrt5Z29e3NuB3bxx1TDyQmfZMG7aepXXluHx5Az73o5cT7LCpTjtnaiESzSub3PdUeWVJ5piplvmKEOK/AVgGQAB4Q0o5YVb5hBDjqNa4n91+ieYyCKfloVHVf9umCzXz0y2uqYjF3wgBSAnc/+x+LKurxMqF1WmX/6PPnK+ZO2vJ3ArDEupOa9Ns2Nc/Hd/0z1evwGd+8GeEJyK4etWC2MQOmG6rrTun70HHkRAefO5A2vaXDUZtPV3y6f65GdV9eOXwcc38Yovnnq/pIxadUa70HVbYT6aYac+0Yet5o29EaYfnn8k3U4DxvLIkc8xUy/wYgKeklF1CiDsArBJCbGHyckLsI5M17k7KQ2M0ts5o/I06jmdMc3um8RNOatNs6A1Nt+/RuPYRApptJQQQkdrfWRFjYWU8R77cP7ejdR/6FPe9X9GHVX1bVY5d8UBm2zNt2FpU9tY/NGZTjZwHY+5yh5nLMr8ipfyFEOJiAGsAfAvAvwG4INWBQoiDAE4CmAIwKaVsM7FehNiOWbETRsuxM9bCaF2NxdaVGY6/MZIjK+gv1dxeaPET0TYbHBlDSZEHXo/AP35kGeoDpWhfsxQROR1vp9VWUgJeD3Jmf+nYupYNALmLCSTmU6/wEXX+Us3tqr4d1LEfq2PxtGIAGSfnLlT2VucvtbdiDoI2nTvMnNxFlTE/CuA7UspfCyG2GDj+MinlMRPrQ4gjMCt2IpNy7Iq1MFpX47F1FZqxdcvrKjTjb86aW6nMi6fVPq31Ac3yVzQELG03JxG9J994ah+ua2vE1p37Y/F1f/39P8fa5e+vWIZ/vroVX/7V3rg2b8aug8dwRUtDzuwvla2rbKzEK3DLT191RJwVMc6yunLc/KGmWfnFlgUrcPNlTbP6cHOwSrNvtwT9mvbTWF1uaW6uycmIZmzg+tbc9R2SPWcFKzTt8Kwg71eUaMw2c1Jaj5mTu24hxAMAPgzgG0KIUpibR48QV2JW7EQm5dgVa2G0rmbF1p1ZU64Z97CkVjueJprXTqt9Nq5owJK5FbFf61dkqJbpVqL35KaLl2Drzv3K+LpvPf0GblvTlHgvfv8WvnXNSrx/0XR8Yi7sL5Wtq2xs06VLHBNnRYzzmk6sk1bc7LK6Sk3f0baoWtN+rIrljNLVG9L0cU3zKhkn5yLeZMxdSqIx2+nGxJPMMXNydy2AtQC+JaU8IYSoB/DFNI+VAJ4WQkgAD0gpH4z/UgixCcAmAGhsbDSxyoSYg56NmrXOPNNy7Ii1MFpX02LrMoyn0WqfkpIiw+IpTsaoH43PaZcqvm5kfGrWvTh6ciz2IJor+9OzdZWNRSRmbWMMSO7JdJzXi3VS+RQt36HyBVbHCSl9XCiMlQsZJ+ck9Md5xtylQtX3mJPSfMxUyzwF4Fdxf/cC6E3z8IullN1CiHkAfiuEeF1K+VxcWQ8CeBAA2trapKoQQuxCz0bNWmeuV45eTIgduZv06mokvkQvts5IrFyQ+XUM+9H4nHbxbarVvsnm5MT4RJWNadXdTLtwWu40p5KOfWr7DlV8rPZ2o7kwrY4TUvq4gLP6T5RCtmf9cV5th2Qat9m6XZjRxxyxbFJK2T3z71EA/wHgfHtrRIh5RGOB4h+UM4mdUJUTjQm5cuvzuP47L+HKrc/jqa4+RCIyFmek9Z2VNFaXY8vGloS6btnYgoYqH7bv6cZ1D/4Rn//xK7juwRexfU83FgTKNK+tud6vuX1FQ0Cz/NZ67e0tQT9uXd2Eh/5wAPftfAvfff4Abl3dxPw6OkTt7fE93Whf3QRfsQe/fPkIblvTlNC+X72qGfOqShO2OTE+UWWTKxYEsu6bKuzqf/lINDYt2XcsD1Zg8/rE+7p5fQvOCWr7y+b6gCF/bJb/VrG8bjoGMLn/LK/zm1K+mdCe1ZylsEPG3J3GTbZuF2b1MTOXZWaEEKICgEdKeXLm/1cA2GxztQgxDbPi3lTl6MWEALAld9Ph46dw787EtfX37tyPxTUVhuNLlDFxK+ejaV4l+kJhBAM+NNcH4PV6NLczv45xYm0frMJ7I2PYtulCDJwcw4GBYdxy2VKEJyOQEvi3/3oLH/9AIzZdugTLg37UVpU6Mj5RZZM//PT5eNKiuCar47UKCVVs2qIzzscjuw7hm9esxOj4JMpKvHj4hQNYFjTuU7SwOm75SGgUj/x5dv3bFjnPN9Ge1ezvG8Hv9vXggRvejxOnJjCnvBg/+eM7OHNuOT7AmDsA7rJ1uzCrj9k+uQNQB+A/xPRaKS+An0opn7K3SoSYi1lxb1rl6MWEyBzmGYunXxkTZzy+RNV2Xq8HKxdWz1qrr7Wd+XUyI7ntn+rsxT/95o1Z+42MT+G+nW/hgU+ucmycop5NXrhkriV2QLszD3X87Rh2HQph16FXE77LxKeosDJuuX8orFl/J9oI7VlN39AYnn7tGJ5+LVH0fT2DyWK4ydbtwqw+ZvvkTkp5AMBKu+tBiFtJFRNiR16ZOkW+uXpVrFwGa+614m+8Xu2V5syvYw71gTLN2EUpp9uzrKQIe949kXAvnBKjY4cN0O7MQx1/q4izVeS2dFp8mJtsxE11zTVB5rlLCe0nNWa1kSNi7gghmaMXE2J1vIiKBYEyXPuB6Xxz//Crvfjio3tw7QcWYXldpSlr7lXxN5OTEc397WqHfGNZbSVu/lBi7OLnL12Klw4M4LY1TfiHX+5NuBdOitGxwwZod+ahjNdRxDo1za1wjO3p4SYbcVNdc83ZM3nu4n3jzR9qwtmMuYtB+0mNWW1k+5s7Qkh2pIoJsSNX0r7+Ic0cU0vmauenM7rmXi83lFa+HLvy/eUbbwycnJXL6WtPdOFb16zE/35yH3pDYQCI3YsqX7FjYnTssAHanXkcCY0qc1ve//uk7b/fjzPnljvG9vRwk424qa65Zh/z3KWE9pMas9ooryZ38xc2oufIu3ZXg5CcoxcTYkeeO6P56YyuJ9fPDaV9jB3tkG+o2v31/pOxiV10W18ojFPjU46K0bHDBmh35qCOmRwzlPPSifE9brIRN9U1lzDPXXrQflJjRhvl1eSu58i7uO6BF7IqY9vnPmhSbQgpXIzmp1Plv1PF0DFfTm6Jxi6dUVGSdq64YMCHKl8xYyyIKahiUdS5LbW30/aIFTDPHXESjLkjhJhOc71fO6dYg3aOqQWBMkMxdKrym+udlVstH4iPm9vyxGu466rmhHb/3/+jFUvnVWrGUTLGgpiFypaag1WaMXfNwSraHskZzcFKhR3yDRXJPXn15o4Q4gxU+ea8Xo/mevK93ScMxdDplU/MJT7vTkf3EPDSIXzrmpXweID5c8rg9xXjUz/4kzKOkjEWxAxUsSh7u09oxtzp5bkjxGzeOnZKmW9x5UK+vSO5hZM7QoglqPLQaa0nzySGTlU+MZfkvDsd3UO45Wev4uebLsDKhdV48e1junGUjLEgZqHyHZoxdzp57ggxm96Qdg43vTGMEKvg5I4QklO0ck+p8qfpxdAZzWHlhpxXdqJqn+RYpxXz/dh06fvw3sg4Xj74Hkq9HsY2EdvQ8x3s8yRXZDKGEWIVnNwRQnJGNH4ruswvGgezuqkWN1/WFEufkCr/naqctc1BzYc3o/sXGnrtE411uv2R3ThrXiWuv2AR/v7RPbH9vnpVM+746HJs+fW+hGMZ20RywVlzp/OLRWXok/Pcsc+TXNA0t1xph4TkGgaoEEJyRnz8FnA699QbAyc18+IdCY0aKufg4Igp+xcaeu0TjXV6sv0S3PHRc/C1x7sS9vvq412oqSjFpkuX4PufasOT7ZfwAZrkjK7+2bkX79zRia6+k+zzJGd09antkJBcw8kdISRnJMdvAdODoCrm7ujJMLRQlWPW/oVGqvaJxjq9d2pcc7+h8AS2PvMWykqKYnF2hOSCPoXt6uW5I8RsVPbGPHfEDrgsk+Qd2Sazb1iwEN3vHjaxRubh9hgSVa4qVd46VdyWqhyz9i80UrVP1O78ZV7N/cpKvGxPYgv1OvnvtGKgaKPEClR5FZnnjtgBJ3ck78g2mb1TE9nnQ9xYfPxW/DU01/s1t6vitlTlmLV/oaHXPvF2V11egtvWNOGeZ/bH9rtrXTMefuEA25PYQmtDAJs3tMyK120J+nHr6qZYipVoLszG6nK7q0zykJagH5vXt8yKuWsJaseNE2IlnNwR4hJUcVFnt1/iGqlvVa4qve1GyzFj/0JDr30ODAzH7K43FMbDLx7CpkuXoLk+gJrKEng9wDevOZftSWyhpKQIG1c0YMncitiKhhUNARwJjWrmzlzVWO0af0ncQ+/wmGa+xbbF1VhSVmx39UiBwckdcR4eL4TgQ2IyenFRbnpYUeU9M5oPzer9Cw1V+yTbXW8ojK3PvIWfb7oAbYvPyHU1CZlFSUnRLFvMF39J3EH/kHa+RdobsQNO7ojziEzm5bLKbHFq3JgqDpB56PKDOr9PM3ZJYPqtHu8TsZvx8Sl09ITQNxRGvd+H1oaAY/0lyU9UfpL2RuyAkztCXIIT48ZUcYBXLK/D0/v6mYcuD1gQKJuVg/Br65vx779/Cy++8x7vE7GV8fEpbO/omRVzt76l3nH+kuQvDVU+zTx3DZzcERtgKgRCXEJ8vrGfb7rAEfnEVHGAXb0h5qHLE/b1D83KQXjXji78j/cv5H0ittPRE9LMkdnZN+Q4f0nyl86+Ic08d519QzbXjBQifHNHiItwWtxYJnnrtOrO+BjnorqXo+OTsf/zPhG7UOW56x8KO85fkvxFzw4JyTWc3BFCMsauvHXEOpJjH1X3sqzEG/s/7xPJBVpxuao8d3V+2iTJHbRD4iS4LJMQkjHROEBf8bQrica1LK+rwpaNLQnb9XJMqcphfExuicY+Xrn1eVz/nZdw5dbncWJ0bNa9vOuqZnz3ubd5n0jO0LLNp7r60Bz0Y/OGRPvcvKEFKxoCNteYFBLNM3nuEuyQee6ITfDNHSEkY1T50Q4OjuDenYk5f+7duV+ZY4p56JyBVuzj5370Cv7zC5dg26YL0RcKI+j3YU5FMc6cW877RHKGKi73yfZLNPPclZQU2VxjUkj0nAzjkV2H8M1rVmJ0fBJlJV48/MKB6Tx3Pi4LJrmFkztCSFZoxbVkkvOH8TH2oxdDeeGSuVi58PT2RTW8TyR3pIrLZc5FYif9Q2HsOhTCrkOvJmxnPDKxAy7LJISYTjSGLh7GZjkf3jfiVGibxMnQPomT4OSOEGI6jKFzJ7xvxKnQNomToX0SJ8FlmYQQ02EMnTvhfSNOhbZJnAztkzgJTu4IIZbAGDp3wvtGnAptkzgZ2idxClyWSQghhBBCCCF5ACd3hBBCCCGEEJIHcHJHCCGEEEIIIXmAkFLaXQdDCCEGAByyux5xzAVwzO5K6OD0+gHOr2N8/Y5JKdfq7ZzCRp1+rVZQaNds9/Vma6O5wO42MgNeQ+bo2micfeZDGxuh0K4XcOY15+M477Q6Oa0+gPPqpFcffR/qtsmd0xBC7JJSttldDxVOrx/g/DqaWT+nX6sVFNo1F9r1ZkI+tBGvwXqcXj+zKbTrBfLzmp14TU6rk9PqAzivTtnUh8syCSGEEEIIISQP4OSOEEIIIYQQQvIATu6y50G7K5ACp9cPcH4dzayf06/VCgrtmgvtejMhH9qI12A9Tq+f2RTa9QL5ec1OvCan1clp9QGcV6eM68OYO0IIIYQQQgjJA/jmjhBCCCGEEELyAE7uCCGEEEIIISQPsHxyJ4QoEkK8KoR4QuO7TwkhBoQQu2c+f2N1fQghhBBCCCEkH/Hm4By3AdgHwK/4fpuU8pYc1IMQQgghhBBC8hZL39wJIRYA+CiA71p5HkIIIYQQQggpdKxelvl/AXwJQERnn78UQnQIIR4VQixMVeDatWslAH74seuTEtooPzZ/UkIb5cfmjy60T35s/qSENsqPzR9dLFuWKYRYB+ColPJlIcSHFLs9DuBnUsoxIcTnAPwQwGqNsjYB2AQAjY2N1lSYkCygjRKnQxslTob2SZwObZS4BSvf3P0FgPVCiIMAfg5gtRDix/E7SCkHpZRjM39+F8D7tQqSUj4opWyTUrbV1tZaWGVCMoM2SpwObZQ4GdoncTq0UeIWLJvcSSm/LKVcIKVcDODjAHZKKT8Zv48Qoj7uz/WYFl4hhBBCCCGEEGKQXKhlJiCE2Axgl5RyB4B2IcR6AJMA3gPwqVzXxy1EIhIHB0fQPxRGnd+HxTUV8HiE3dUihBQo9EnErdB2iRXQrohTyMnkTkr5ewC/n/n/nXHbvwzgy7mog5uJRCSe6urD7Y/sRngiAl+xB3dfey7WNgfpOAghOYc+ibgV2i6xAtoVcRKWJzEn2XNwcCTmMAAgPBHB7Y/sxsHBEZtrRggpROiTiFuh7RIroF0RJ8HJnQvoHwrHHEaU8EQER0+GbaoRIaSQoU8iboW2S6yAdkWcBCd3LqDO74OvOPFW+Yo9mFfls6lGhJBChj6JuBXaLrEC2hVxEpzcuYDFNRW4+9pzY44jupZ7cU2FzTUjhBQi9EnErdB2iRXQroiTyLlaJjGOxyOwtjmIs9svwdGTYcyrogoTIcQ+6JOIW6HtEiugXREnwcmdS/B4BJbUVmJJbaXdVSGEEPok4lpou8QKaFfEKXBZJiGEEEIIIYTkAZzcEUIIIYQQQkgewMkdIYQQQgghhOQBnNwRQgghhBBCSB5AQRWHEIlIHBwcQf9QGHV+qiwRQpwJfRVxGrRJ4gRoh8QpcHLnACIRiae6+nD7I7sRnojE8qOsbQ7SMRBCHAN9FXEatEniBGiHxElwWaYDODg4EnMIABCeiOD2R3bj4OCIzTUjhJDT0FcRp0GbJE6AdkicBCd3DqB/KBxzCFHCExEcPRm2qUaEEDIb+iriNGiTxAnQDomT4OTOAdT5ffAVJ94KX7EH86p8NtWIEEJmQ19FnAZtkjgB2iFxEpzcOYDFNRW4+9pzY44hulZ7cU2FzTUjhJDT0FcRp0GbJE6AdkicBAVVLMKIapLHI7C2OYiz2y/B0ZNhzKuiyhIhxHnE+6r+oTDKS4owPhXBwcER+ixiOapxleMnsRuPR+CK5XXYtulC9IbCqA/40FwfoB0SW+DkzgIyUU3yeASW1FZiSW1ljmtLCCHp4/EILK6pwOt9J/HpH/yZynAkJ6QaVzl+EjuJRCSe3tdPtUziCLgs0wKomkQIyWfo40iuoc0RJ0P7JE6CkzsLoGoSISSfoY8juYY2R5wM7ZM4CU7uLICqSYSQfIY+juQa2hxxMrRP4iQ4ubMAqiYRQvIZ+jiSa2hzxMnQPomTsFxQRQhRBGAXgG4p5bqk70oBPAzg/QAGAVwnpTxodZ2sJhfqXUbUOAkhJBNUfoYKhSTX6Nkcx0NiN1TLJE4iF2qZtwHYB8Cv8d1NAI5LKZcKIT4O4BsArstBnSzHSvWuTNQ4CSHECKn8DBUKSa7RsjmOh8QJUC2TOAlLl2UKIRYA+CiA7yp22QDghzP/fxTAGiEEe0EKqMpECLEa+hniBminxAnQDomTsDrm7v8C+BKAiOL7+QDeBQAp5SSAEICa5J2EEJuEELuEELsGBgYsqqp7oCqT86CNEqdj1EbpZ0guydSH0k5JrtCzUdohcRKWTe6EEOsAHJVSvpxtWVLKB6WUbVLKttraWhNq526oyuQ8aKPE6Ri1UfoZkksy9aG0U5Ir9GyUdkichJVv7v4CwHohxEEAPwewWgjx46R9ugEsBAAhhBdAANPCKkQHqjIRQqyGfoa4AdopcQK0Q+IkLBNUkVJ+GcCXAUAI8SEAfy+l/GTSbjsA/DWAFwFcA2CnlFJaVScnMTkZQVdvaEZVqQzN9X54venNtalURwixmng/897IGIqLPDg1PoWDgyNKf0PVQpJrMhkPsxl/CdHC4xG4fNk8/PimC9A3FEa934fWBqplEnvIhVpmAkKIzQB2SSl3AHgIwI+EEG8BeA/Ax3NdHzuYnIxg+55u3LG9M6aqtGVjCzaunG9ogkelOkKIlXg8AotrKvB638mUKnBULSR2YWQ8NGP8JSSZyckIduztoV0RR5ATi5NS/j6a405KeefMxA5SyrCU8mNSyqVSyvOllAdyUR+76eoNxRwAMB10e8f2TnT1hmyuGSGEJJKuChzV4ogb4PhLrIB2RZwEf06wgd6QtqpSX4iqSoQQZ5GuChzV4ogb4PhLrIB2RZwEJ3c2UB8o01RVCgaoqkQIcRbpqsBRLY64AY6/xApoV8RJpJzcCSHahBB/K4T4FyHEZiHEtUKI6lxULl9prvdjy8aWBFWlLRtb0FwfsLlmhBCSSLoqcFSLI26A4y+xAtoVcRJKQRUhxKcB3ArgHQAvA3gDgA/AxQD+QQjRCeArUsrDuaio0xkfn0JHTyhBJamkpEhzX6/Xg40r56NpXiX6QmEEAz401wd0g26pQpc9qdqQbUzIbFRqhABwYGAY/UNh1Ad8mIoAc8qK8ZObLkAoPI6aCh+a6/0J+7FfuQu3+ExVPVSqmOtbG7C4piJhvKboRW4xajtOsTUVXq8HV55Th8YzytE/NIY6fylaglW0K2IYM9R89dQyywH8hZRyVOtLIcS5AJoAFPzkbnx8Cts7enDnY6dVkjZvaMHGFQ26E7yVC6uxcmHq8qlClz2p2pBtTIiaZDXC+P5SXV6CGy9ahHue2R/rO+2rm7Bt12v4yrpzMD4p2a9ciFt8pqoely+bp6leuL61Ab9746jt9S5kjNqOU2xNj3B4Ek909uPOHXHPgetbsL61Hj5fzoXpiUsxS81XuaeU8n7VxG7m+91SymcM1jsv6egJxSZ2wHQQ7Z2PdaKjxxyVJKrQZU+qNmQbE5I+8f3l6lULYhM7YLrvbN25H+tWzEfHkRD7lUtxi89U1aOjR1u9sKOHNmk3Rm3HKbamx97eUGxiB8w8B+7oxF6qZRIDmKW6mk7M3ZlCiLuFEL8SQuyIfjKrdn7Sp1CJ6x8yRyWJKnTZk6oN2caEpE98fxECmn1HCCAitb9jv3I+bvGZqnqoxmXVdtpk7jBqO06xNT36hsYUz4FjNtWIuBGzVFfTeVe8HdPJxh8HENHftTCpn1GJi78hvmIP6vzmqCTVKcqnCl36pGpDtjEh6ZPcX7T6jpSA16P9HfuV83GLz1TVI6jYrhqvaZO5w6jtOMXW9Aj6SxXPgaU21oq4jajq6ix/ZlB1NZ0FnGEp5VYp5bNSyv+KfgzWN69pbQhg84ZElaTNG1qwosEclSSq0GVPqjZkGxOSPvH95ZcvH8Fta5oS+k776iY80dGN1gUB9iuX4hafqarHioaApnphawNt0m6M2o5TbE2P1voANq9Peg5c34JWqmUSA5iluiqklPo7CPEJTAunPA0g9n5ZSvmK0UqbQVtbm9y1a5cdp9YlHJ7E3t4Q+obGEPSXorU+kBBEm6z01FhdjsPHTxlWiopXq3NKILFbSNWGabZxykZ3qo2SgiEnNhrv8xoCPswpL8bRk2MoLynCxFQEZ1SUxh6+6LvciUk+UwvdnYzap0qtOqo6l6xKnahGl1qtmpiPUdvJ8TNQRj50ZHQMXX3DMbXM5mAlKsr45o4YQ+W3ktC10XSWZbYCuAHAapxeliln/iaYdjo79w8YUhXbsrEF9+7cj0ODo2kpPyWr1RHjpGpDtnH2zF/YiJ4j76a1b8OCheh+t+DFdl3J+PgUdnT2pq0QzH7lTtzgMycnI5qqmFF1uWRV6khE4ul9/Y5WXiwEjNqOE2xNj/HxKfy666gh1XRCtDCipq8sI419PgZgiZRyPPPT5DcqJaez2y/BktpKze/v2N6Jmy5egvuffWvW/oS4lZ4j7+K6B15Ia99tn/ugxbUhVqFSCF4ytwJti8+wuXakkFCpyzXNq8TKhdWz9k81XhOSCfSJxEmksw6hE8Aci+vhajJVFRNCe39CCHEyVisEE5IuRtXl3KC8SNwHfSJxEum8uZsD4HUhxJ+RGHO33qpKuY1MVcXiwx2dpvxECCEqrFYIJiRdjKrLuUF5kbgP+kTiJNJ5c3cXgP8B4J8AfDvuQ2bIRFVsy8YWPNHRrbk/IYQ4GasVgglJF6Pqcm5QXiTugz6ROIl03twdBtArpQwDgBCiDECdpbXKAcnqlekqNanULq9YXocn2y/RVHLyeATWNgdxdtz3jdXlWNVYTQU5HYzeI0JI5qTb3yYnI9jXP4S6qhI8/JnzcWx4DPOqfFgxo1BI3IWb/KxWXb1eD9Y112PRGeUJatUq9Uut8djJ10zMxSp7LykpwrrmOiyuKY+pZbYEq+gTiWHMsNF0Jne/ABCvfDA1s+0Dhs7kILTUK/XUsoyoXRpRFXOy8pPdGL1HhJDMSbe/TU5GsH1P9yxlwnMXzKGUvAtxk59V1fXyZfPwRFevUi1TC6crLxJrsNLex8en8ERXP9UySVaYZaPpjMbeeKXMmf+XZFBnx6BSyzo4OJL2/nds78S6FfPTOp4Yx+g9IoRkTrr9TaVM2NUbynmdSfa4yc+q6trRQ5sk6WGlvavUMjt6aIckfcyy0XQmdwNCiJh4ihBiA4Bjhs7iMIyqZVHtMvdQ0YyQ3JFufzOqTEicjZv8rKquKpVC2iRJxkp7p1omMQOzbDSdyd3nAfyjEOKwEOIwgH8AsMnQWRxGVC0rHj21LNX+VLu0DqP3iBCSOen2t6gyYfJ+KmVC4mzc5GdVdQ2qttMmSRJW2nu9omyqZRIjmGWjKSd3Usq3pZQXAjgHwDlSyg9KKd82dBaHYVQti2qXuYeKZoTkjnT7m1FlQuJs3ORnVXVd0RCgTZK0sNLeqZZJzMAsGxUy/vVT/BdCfBLAT6WUEcX37wNQL6X8g+J7H4DnAJRiWrjlUSnlXUn7fArAvwDontl0n5Tyu3oVbmtrk7t27dLbJS2iajTpqmUl799Q5UNn3xD6hsKo9/twTl0V3jw2jN5QGPWBMiyvq8KR0GjGapxU7zJ+j3JEygqYZaNuRAiB6x54Ia19t33ug1D5H5IVGdmoXn+bnIygqzcU829SSnSfGEVtVSkggXn+UkxFgKMn6b/chk1+VvcEKh+qquvo6AT29g3FVApbg36UlRXPstvmen9Gwj8cn/OHNO09Ix96cjSMfX0jMTtcHqxAVRnf3BFjmGGjemqZNQBeFUK8DOBlAAMAfACWAvhvmI67+586x48BWC2lHBZCFAP4gxDiN1LKPybtt01KeYteJa3AqFpW/P5ainGb17fgkV2HsOtQCItqynDzZU0JqklG1TidqliWS6hoRkjuUPU3LX9311XNKILE3/1iD6rLS3DjRYtwzzP76b9ciJv8rFZdx8en8HhX3yyVwquag/j1a32GVDS14PicX1hl76dGx/GbzgHcuSPxuXBdSx3Ky1ytQUhyjBk2qvRwUsp7AKwC8DMAtQDWzPzdDeAGKeVfSin36xwvpZTDM38Wz3zy4md6LcW4O3d04sYPLgEArFsxf5ZqklE1TqcqlhFCCgstf/e1x7tQXlqM8EQEV69aEJvYRb+n/yK5QqVSuLdvyBQVTY7PJB06+07GJnbA6efCzr6TNteMFCK6P19JKaeklL+VUn5VSvk5KeUXpJQPSCkPp1O4EKJICLEbwFEAv5VSvqSx218KITqEEI8KIRYqytkkhNglhNg1MDCQzqktRaUYNzo+CQAQAqaocTpRsYxo4zQbJSSZTG1U5e9GMvR3hGiRqX2qVQrHTFHR5PhMoujZqMre+ofGcllFQgCkp5aZMTOTw3MBLABwvhCiJWmXxwEsllKuAPBbAD9UlPOglLJNStlWW1trZZXTQqUYV1biTfg7+XujapxOVCwj2jjNRglJJlMbVfm7igz9HSFaZGyfSpXCUlNUNDk+kyh6Nqqytzp/aS6rSAgAiyd3UaSUJwA8C2Bt0vZBKWX0Z43vAnh/LuqTLVqKcZvXt+DhFw4AAB7f0z1LNcmoGqdTFcsIIYWFlr+766pmnBqbgK/Yg1++fAS3rWmi/yK2oFIpbA2ao+zK8ZmkQ0uwCpvXz34ubAlW2VwzUojoCapkhRCiFsCElPKEEKIMwIcBfCNpn3opZe/Mn+sB7LOqPsmkUr/SU9nyej1Y11yPRWeUo29oDEF/Kc4JVmJJbUWCeuayusqE4/XKv3zZPDzZfolpimWpri/5+8bqchw+fopqYISQBLxeDzaunI+meZXoC037B48Ajp8ax8OfOR9Hh8Ywv9qHC5dcgJ4TYcyrKoW3SODg4EjsAbiQlQatUlrUKhcovLYuKSnCR5prsbjm/ASVwrKyYqxvbcDimulxOej3YUVDAF6vx5CKpscjsLY5iLNNHJ/dgFsUQlX1zHX9y8tKcEVLLRbPPW2HZwUrKKaShFvsyk7MUPlNObkTQpQC+EsAi+P3l1JuTnFoPYAfCiGKMP2G8BEp5RNCiM0AdkkpdwBoF0KsBzAJ4D0AnzJU+wxJpX6lpQ4Xr7I1ORnBE129se+11DG3bGzBvTv349DgqKHyzVBwSnV9Wt/r1ZcQUth4vR6sXFiN5vpp3/XzPx3CX65qxNeeeCVBQfNnLx3Cm0eH0b66Cdt2HcZX1p2D8UlZsEqDViktqsot8Qrc8tNXC6qtVSqFH22Zh/96671ZbXT5snnYsbfHkIqmmxRFzcAtCqGqel6xvA5P7+vPaf1PjobxtIYdfqSllukQZnCLXdlJqvlHuqSz52MANmB6AjYS99FFStkhpTxPSrlCStkSnQxKKe+cmdhBSvllKWWzlHKllPIyKeXradc8C1KpX2mpw8WrbCV/r6WOecf2TqxbMT+j8q2+Pq3v9epLCCHAad914weX4GtPdM1S0PybS9+H8EQEW3fux7oV89FxJFTQSoNWKS2qyu04Eiq4tlapFHb1DWu3UY+1428+4BaFUFU9u3pz73f29Y1o2uG+Pme1mZ24xa7sxKz5QTqTuwVSyuuklN+UUn47+smgzo4hlfqVSh0uqrKV/L1KLU6IxL/TLT9bUl2f6ntVfQkhBDjtu0bHJnUVg6P+JCILW0nTKqVFVbmRpGRDhdDWeiqFmuOsou3MGn/zAbcohKrqqXrGsrL+VMtMjVvsyk7Mmh+kM7l7QQjRaqhUh5NK/UqlDhdV2VJ9n/y3lIl/p1t+tqS6PtX3qvoSQghw2neVl3p1FYOj/qRIFLaSplVKi6pyk1c2FUJb66kUam1XqWuaNf7mA25RCFXVsz6Q+/pTLTM1brErOzFrfqCc3Akh9gohOgBcDOAVIcQbM/noottdSyr1Ky11uHiVreTvtdQxt2xswRMd3RmVb/X1aX2vV19CCAFO+64fvnAAd61rnqWg+d3n3oav2IP21U14oqMbrQsCBa00aJXSoqrcFQsCBdfWKpXC5mClZhu1NgQsHX/zAbcohKrq2Vyfe7+zPFihaYfLg85qMztxi13ZiVnzAyGl1P5CiEV6B0opDxk6k0m0tbXJXbt2ZV1OVLFHpX4VVavpC4URDPjQXB9ICGYcH59CR08oQR3zzWPDM+o2Piyv8+NIaDTj8q2+vuTvG6p86OwbSlAVKykpSvt8Zqj7uISUUb9m2agbEULgugdeSGvfbZ/7IFT+h2SFpTYa9X0Dw2OoqShBaHQCZ5SXoLzEgyPHw5hTXoyTYxOoqfDFVIL1fFG+o+WLgexVLfXKPXoyjLoqH06GJ9Cj4ZMdoFinezKj9jkyOoauvuGYSmFzsBIVZaXKcVA1/jqgXRxD4phu/jOKCqP3QHWPU937FM8qGfnQ0GgYb/SNxOxwWbACAYqpJGCXXbmJ0dEJ7O0bitlRa9CPsrLi5N10bVSplhmdvAkhfiSlvCGhRCF+BOAGzQNdQir1q6g63MqFs7+LRCR+98bRtNQmMynfDFJdX/z32arzmKXuQwhxNlq+7+5rz8V5jdUAgHcGR3HD9/40SwmtkJQGk0n2xWYpxql8/JLaSjRWlyt9sscj8kqxLhKRmqqY0evRaiOt8ZdKfqeJRGTO1Saj5zV6D1T3WGu7lc8qk5MR/Pa1AT4H6WCXXbmJ8fEpPN7Vl6C+v3lDCzauaDD0wiUdi2uO/2MmtYErko1bRb6pTWarzmO1+ichxBnoqZ1RCS09ctFOej453+6TWdeTb+2SDXa1hdXntfJZhc9BqWEfS01HT2iW+v6dj3Wio8cktUwhxJeFECcBrBBCDM18TgI4iun0CAVLvqlNZqvOY7X6JyHEGeipnVEJLT1y0U56Pjnf7pNZ15Nv7ZINdrWF1ee18lmFz0GpYR9LjUrNt3/IJLVMKeU/SymrAPyLlNI/86mSUtZIKb+cUa3zhHxTm8xWncdq9U9CiDPQUzujElp65KKd9Hxyvt0ns64n39olG+xqC6vPa+WzCp+DUsM+lhqVmm+d3zy1zFVCiFUAfhH9f/wno1rnCfmmNpmtOo/V6p+EEGegp3ZGJbT0yEU76fnkfLtPZl1PvrVLNtjVFlaf18pnFT4HpYZ9LDWtDYFZ6vubN7RgRYN5apnPzvzXB6ANwB5Mq7OsALBLSnlRhnXPinRVtFIpLiV/vyBQhn39Q2mrPSYr/qRSx7SabFW+ktXDltVW4Y2Bk7H2WF5XhSOhUWX5ycdH2yN+fyBRIa6xuhyHj59K+x45RLmMapk6UC3TEZhmo9E+ODgyBgGB90bGsPCMMoxNyGml4Bm1s6giZv9QGOUlXkxMTeGMilKn9Flb0fJjkYiMjR8Lqsvg8xZhYHhslp/TOhZIT2kzXtE5qoDs9XpwcHAEfaEwSr0ehMLjMVXTHIs+mKqWeWp0HJ19J2Pqci3BKpSXlRiuVCqVaTejGk9TbU+3LYwqZpt13mTl8tYUSt9pKpVn5ENVqq3kNOHwJPb2htA3NIagvxSt9QH4fEptx4JkeDSM1+JUV88JVqBytupqxmqZlwGAEOJXAFZJKffO/N0C4KtZ1dxiUikuaX2/eUML7n/2tNqlnsqRnuKPHYpwZqh8xauHaSlKJbdPcvnxx6vqU+IVuOWnr6ZUGFXdI6oqEZI7on3wG0/tw3Vtjdi6cz+qy0tw40WLcM8z+3X79t3XnotVjWcUfF9N5QtV7bm2OQgAs4697xPnYXxSpvSLWqqmWse2r27Ctl2v4R/WLnetbx0dncATnf24c0fceLW+BVe1BLXkw3VJpTLtVlR2eMXyOl31wnTbwqgKZarxPd3zjo9PYXtHjyFlQauUykdHJ/DrzqOm2GG+Mj4+hR2dvVkrQeYzo6MTeLJzIGs7SuenumXRiR0ASCk7ASzPoM45I5Uij9b3dz6WqHapp3LkNMUfs+ujpfqU3D565avq03EklLbCqNPamJBCI9oH162Yj607pycfV69aEJuIAOq+zb46TSpfqGpPlfpox5FQWn4x3WO37tyPdSvmu/p+7e0bij0IATPj1Y5O7O0bsrlmzkFlh1296dlTKowqRZo1vpulLGgGtMPUOOl+ORWz7CidyV2HEOK7QogPzXy+A6DDeJVzRypFnnTVLlUqR05T/DG7PirVp3TVQFX1iSStwNMr02ltTEihEe2DQiDWF+P/H0XVt9lXU/tCVXuq1EcjUr1/qvOqjo3Wwa33q39oTKEuN2ZTjZyHyg5VY71RWzCqFGnW+G6WsqAZ0A5T46T75VTMsqN0JnefBtAF4LaZz2sz2xxLKkWedNUuVSpHTlP8Mbs+KtWndNVAVfVJXvGjV6bT2piQQiO+D8b3xXT7Nvtqer7QiPpokVDvn+q8qmOldPf9qvOXKtTlGOsURWWHqrHeqC0YVYo0a3w3S1nQDGiHqXHS/XIqZtlRysmdlDIspfxXKeX/mPn8q5TS0dPsVIo8Wt9v3pCodqmncuQ0xR+z66Ol+pTcPnrlq+qzYkEgbYVRp7UxIYVGtA8+vqcb7aub4Cv24JcvH8Fta5pS9m321WlS+UJVe6rUR1sXBNLyi+ke2766CU90dLv6frUG/di8Pmm8Wt+C1qDf5po5B5UdNtf7TRlnjSpFmjW+m6UsaAa0w9Q46X45FbPsSE8t8xEp5bVCiL0AZu0kpVxhvNrZY1TlTaW4lKx2GVWHVKk9JqtpRtUjnaKqZbbKV7ICVXPQj56TYWX56ew/Pj6VoJLUEvSjd3hMWaZDlcuolqkD1TIdgYVqmeNomOODz1uEoyfHUFwkcHx0ArWVJfB6POg+MZqWUl4hEK8GmKwgGq+W2TCnDFWlXvQNhVFeUoTxqQhqNPaLtmtUmfS9kTEUF3lwanwK86p8KPIAA8NjKEna1jd02n8CiKtTESamInapmmaklqlSWExTXa6gUalZGlWbVGG0HNX4blQlW6W+mKXadkY+9ORoGPvi7HB5sAJVtMMEzFK2zWfStKPM1DIxvQQTANZlU0m70FNc0lO7XLlwtlLjopoy3HxZU4LCT1QJyimqWmaqfGkprempgeopVkX311NJUtU5X5XLCHELqj44Pj6FV949kdCfb1vThIdfPITjp8YLXtlWpQa4qvEMANAcf0q8Ap/+wZ911S2j7bq4pgKv951M+O4fP3I2Rici+NffvampQBjFrT5V1aarm2rxZNcAFfh0UD3zXL5sHnbs7Ulb5VKvfNUzg8oHaPkWoyrZkYjEzv0DhlVArSAcnsRvNFQO17fWU+p/hvHxKTzR1c++qoNZdqTsvVLK3pn/Xg6gREp5KP6TZf1txaia5roV82cp/OgpQbkdo0pW6SggUSWJkPxBqz/f88x+XL1qAdUyoe9D01UT1lPG1Crj2Mh4bGKXvH8+oGq3vb0cW1KhtLkeYyqXRss3antGy7FaBdQIe3tD2iqHefqcmAl8DkyNWXaUzk8zjQAeEEIcEEL8QghxqxDiXMM1dhBG1TRVimYqJSi3Y1TJKh0FJKokEZI/qPpzVP3WzeqLZqDnQ9NVE9ZTxsxGSdOtqNqtT6kulx/XbQbqtjOmcmm0fKO2Z7Qcq1VAjaC2Q6plRuFzYGrMsqN0BFXuklKuBtAM4HkAXwTwsqGzOIxM1TST/1YpQbkdo0pW6SggUSXJvcxf2AghRFofUhio+nM0hNLN6otmoOdD01UT1lPGzEZJ062o2i2oVJfLj+s2A6VapqpNDT7bmKV+abQctQpo7tW21XZItcwofA5MjVl2lHJyJ4S4QwjxGwBPA1gK4O8BLDB0FodhVE3z8T3dsxR+9JSg3I5RJat0FJCokuReeo68i+seeCGtDykMtPrzbWua8KtXjlAtE/o+NF01YT1lTK0yaipK8LeXn5W3qqWqdmut59iSCmXbNQQMqVwaLd+o7RktR60Cmp6qrJm01ge0VQ7z9DkxE/gcmBqz7EiplhnbQYhXAEwC+DWA/wLwopQy5ftBIYQPwHMASjEt3PKolPKupH1KATwM4P0ABgFcJ6U8qFeulkKRlioSAF2lpFRKjMnKT8vrKvFa/zD6hsII+n1omVGDzFCJKaWSU7KyVVSdM9P9k9U+U6nZJbdPQ5UPnX1Ds9Qwo+UHK0tmKSD1DY8n1HdyMoKOnlBs24okNa3kNmmsLsfh46dMa+Nsy5uh4NQyjSpgUi3TdrKy0VT+NFhVivdGJ9A/FMbcylIMhSdwRnkJiouiapk+NNcH8l4tM76dgn4fToYn0BPnXwGgqzeE46fGUFFSjOOnxtEwpww+bxEGhsdiCppzK0sxFZleYlbq9SAUHsfcSh+qSr04MTqOqQhwbHgM8+eUQQA4MqNIGq/YXFNRipGxSRwdHkN1WTEmpiSCAZ+m4uacci96TqQ/Vupdt1V+VGWfKkVGlQKfSXV1HKrr0rteVduNjk5gb99QrO1ag36UlRUbPoeqHKPXYFT9UnVdWaptZ+RDh0bDeD1O5fDsYAX8VMtMIDQaxhtxbbQsWIEA2yiBE6NhvBnXRmcFKzDHRLVMAICUcpUQwg/gLwB8GMCDQoijUsqLUxw6BmC1lHJYCFEM4A9CiN9IKf8Yt89NAI5LKZcKIT4O4BsArktVp3i01JX0VMainVtPiXFyMjJLQWrzhhY88udD2HUohEU1Zbh1dVPC90aUmFIpQk1ORrB9T3esfC21Tr39o/W9/9n9ODQ4qvl3KkWs+PbRVMNc34Lf7evB068dQ9uiAK79wKJZCkjx54vWt23xGWm1idltnG15hBQCqfxpdXkJbrxoEe55Zn/s+69vaIGUwK0/e7Vg+lZ8O2m1yZaNLZhTXoyvP/EarmtrxNad+zX3u+8T5+HoyfGE9m5f3YRtu17DTX9x5iz1y3hF0qgPb6wun+X/t2xswfmLz0AkImd9d9dVzfjZS4fw5tHhtMZK1XXn+l5rjctbNrbgo+cENRX41rfUayoput0uVfdATyEyEpHKtnu8qy/ttlOd47Klc/F4Z1/aCn96yqdaqtqq+qRS+8ylMuyp0XE8paFyuK6ljlL/MwyPhvGfGm10ZUstU5fMcGI0jKc12uiKllqtCZ6SdJZltgD4KwB/jemJVzeAnamOk9MMz/xZPPNJ/pl+A4Afzvz/UQBrhMHAHS21JD2VsXTo6p2tIHXnY5248YNLAEyrZyZ/b6T8VIpQyefXUuvU2z9a33Ur5iv/NqKIpalwtKMTf3XhmQCAGz+4RFMBKf58qdpHS6HUzDbOtjxCCoFU/vTqVQtik5Po9195rBN7u0MF1bfi20mrTe7Y3omOIyGsWzEfW3fuV+6nNVZt3bkf61bM11S/jFckjfpwLf+v993XHu/C31z6vozGSrNUETNBdZ17+4Y0x5+9Nigm5oJMFCLNajvVOfb2DRlS+DOqfKqqj1lqn2bQ2XdSsw06+07mvC5O5bW+Ec02eq3P3X3STN5UtNGbBtsonXUz/wdAFYCtAJZLKS+TUt6ZTuFCiCIhxG4ARwH8Vkr5UtIu8wG8CwBSykkAIQA1GuVsEkLsEkLsGhgYSPjOCtUwldLS6PjkTH2yKz+VIlTy+VOdT1Xf+Gmy1t/pKmKpFI5OnJoAAIyOTaZ1fr32SVehNNM2zra8VOjZKCFOIB0bTeVPVf0oWenRzL7lROLbSa9N4r/T2k81Vgmh/130/32hsNL/630XHcuMjpVmqSJqkco+VdfSr1CXU6nOud0uM1GINKvtjJajUvgzqnyq3m6O2me66D+LUi0zFWyj1JjVRumoZa6TUn5TSvmClHLCSOFSyikp5bmYFmA5f+YtoGGklA9KKduklG21tbUJ31mhGlYfKNM8vqzEm/B3puWnUoRSnd/o/vHhTFp/p6uIpVI4mlM+vZ6+vNSb1vn12iddhdJs2zjT8lKhZ6OEOIF0bDQdf6rVj5JXuVmtTGc3ye2k1yZ6+6nGKin1v4v+PxjwKf2/3nfRsczoWGmWKqIWqexTdS11CnU5leqc2+0yE4VIs9pOdQ5VOSqFP6PKp8r6mKT2mS76z6JUy0wF2yg1ZrVRTiLepZQnADwLYG3SV90AFgKAEMILIIBpYZW00VJL0lMZS4fmev8sBanNG1rw8AsHAEyrZyZ/b6T8VIpQyefXUuvU2z9a3yc6upV/G1HE0lQ4Wt+Cn/zxHQDAD184oKmAFH++VO2jpVBqZhtnWx4hhUAqf/rLl4/gtjVNCd9/fUMLWucHCqpvxbeTVpts2diCFQsCeHxPN9pXNyn30xqr2lc34YmObk31y3hF0qgP1/L/et/ddVUzvvvc2xmNlWapImaC6jpbg37N8afVBsXEXJCJQqRZbac6R2vQb0jhz6jyqao+Zql9mkFLsEqzDVqCVTmvi1M5J1ih2UbnBN3dJ83kLEUbnWWwjVKqZWaKEKIWwISU8oQQogzTqRS+IaV8Im6fmwG0Sik/PyOocrWU8lq9cvXUMuNVkQBko5QUU5/sC4URDPiwvM4fUyabV3VaeTHT8lMpOaU6v9H9o2qZ0e+NqtlFFamiSlVRtVBV+anqm06bmN3G2ZY3A9UydaBapiMwRS1T6U8rS3F8dAJ9odOqt16vJyt/60bi26mualotszfOv3o8AgcHRzA4MgYBgfdGxtEwxweftwjHRsZmtW3/UBjlJUWYmIqgurwURZ5plcziIg9OjU+htrIU4ckpdB8fneXDk/2/8ju/D3MqitEbynyszFKFMEpGapmq60wen1aYo5joWFTXpXe9ZrWdantU5TKmljmjcmn0GozWR8/2syAjH6pSbSWnGR4N47U4JchzghUUU0kiJ2qZWVAP4IdCiCJMvyF8REr5hBBiM4BdUsodAB4C8CMhxFsA3gPw8UxOpKV8GZkJAsn02dHr9WDlwmqsXHh6W/I5slFi0lPrjH5f5SvGqfEpVPmKYw5adT3J9U2+/uTyAODAwLAyTYBW2oB4pcvk8tNpr0zaJP7vSEQm1DnVQJ2qPELIbFS+KbotEpHA4AjGJyM4o6IEXq8npT9zA0Zl8+OvOXrsGVMRTExJ7HyjH3X+6ZQIi2sqcHBwBBNTEZQVe1HkAYo8AifDE3jpncHYubTabvHc2dta5s+ZtS3qf1vnT9fjz4fei5Wr5ZsX1Wjf23Taws57rXUt0e1nVJRgYuq0TdpdVytRXdfY2CSODY9h4OQ4PEKgvrI0lo5A9UxhtO1U271eD0q8HniLBEq8RSknWKpySkqKNFW19c6rZRN24CstnkltIjG3shS+UnUqiEJFJM1Jkv8mQGVxCUq9oyguEij1FqGy2PgPBMrJnRDiccxWt4whpVyvV7CUsgPAeRrb74z7fxjAx9KqqQHslGs2g2xl/LWuf8vGFty7czo1QXJ5WuXH7598Pjva1+33lJB8IF/7YTbXFT32G0/ti6U9iPejc8qLcctPT6eJuP3DZ6G0yIN/fup1U9vQrHvjtnvstvpaxejohGY6gqtagigt9RpOn2B0pZNWOg69dEv5Bu0wNSOjY/h159FZNvrRlnmoKGPcHWBeX9Lb81sAvq3zcSx2yjWbQbYy/lrXf8f206kJksvTKj9+/+Tz2dG+br+nhOQD+doPs7mu6LHxaQ+iZURTIsRvu/u3b2Lw1LjpbWjWvXHbPXZbfa1CmY6gbyij9AlG0EvHUSjQDlPT1TesaaNdfcMpjiwczOpLysmdlPK/9D7ZVd9arJRrzgXZyvirrj8qoZ1cnqp8VSoDO9rX7feUkHwgX/thNtcVPdZImggrUkeYdW/cdo/dVl+r0JNQzyR9ghH00nEUCrTD1DAVQmrM6kvpJDFvEkI8KoR4TQhxIPoxVt3cYqVccy7IVsZfdXxyaoJU5atSGdjRvm6/p4TkA/naD7O5rvhjtcrQShNhReoIs+6N2+6x2+prFXoS6ur0CdopEoy2nV46jkKBdpgapkJIjVl9KZ0FnN8H8G8AJgFcBuBhAD82dJYcY6dcsxlkK+Ovdf1bNp5OTZBcnlb58fsnn8+O9nX7PSUkH8jXfpjNdUWPjU97EC0jmhIhftvtHz4LNeUlprehWffGbffYbfW1CmU6gqBfJ32C35S200vHUSjQDlPTHKzUtNHmYH4JHmWDWX0pZSoEIcTLUsr3CyH2Silb47dlWPesSFdm3u0SyFF5395QGPWBMpw1twJd/SfRNxRGvd+H5plUBCplt+Trb6jyobNvKHb8OXVVePPYcKz8ZbWVeGPgZNrnS5VWwKjyXDqoUhukew6T6sRUCDowFYIjsNRG3e5bVaR7XdH9BkfGUDKTpmBelQ9FHmBg+HTagzp/aWxAPu3LffB6BN47NQaf14vBkXEsqinD2ITE0ZNh1FSUIgKJmopSLK6pQCQiE8aB5nq/blB9VEY+6rdbZ2Tk07nueL8IpJceIQufmlEqhFTXkG82qULV7noy88nPFFFbysRmtFCVo6qrqj6q/Y3aWpbjfUY+tNDsMBPSlPkvaIZGw3g9ro3ODlbAb0EqhDEhhAfAfiHELZhOPO74ababJZAjETlLwWrzhhbc/+xptcubL2vCnY+p1TPjrz9ZfSf5eC21zPjzRf9+5M+HsOtQKOF8Wu1rlWpUsvS4kXNQyYoQc3Czb9UjnevSU8bU8idafucfP3I2Rici+NffvYmz5lXi+gsW4WuPd8W+b1/dhG27DuMr687BiVMTaaumTU5GsGNvjyGVNT2/mG5bOMGn5qtNaqFq99VNtXiyayDhuWDzhhZsXNEAr9ejqYp5+bJ5hm1GVaffvXE0bTVO1XnXtzYYKsdp430h2WEmnBodx9OdA7PUMte11DEf4AzDo2E8pdFGV7bUGsoHmE7vvQ1AOYB2AO8HcAOAv86o1iQttFSX7nwsUe0y6sCj3+upMiWr7yQfr6WWGX++6N83fnBJWufLhWqU0XNQyYoQki16ypha/kTL7xwbGce//u5NhCci+JtL3xeb2EW/37pzP9atmI+OI8ZU0zJRWTNDJZQ+Nbeo2n1vb2jWc8Gdj3WioyekPKajxxxlPqNqnKrzdvRo729U1ZO26Uw6+05qqmV29p20uWbO4bW+Ec02eq3PmO2mnNxJKf8spRwGMASgXUp5tZTyj5lUmqSHUbXL6PcqVaZk9Z1M1TJHxyfTOl8uVKOMnoNKVu5n/sJGCCHS+sxf2Gh3dUkekkoZM9mfaPmdiDx97OjYpNL3xu8X/51KNS0TlTUzVEIzOZZkjqrd+5RKhGGdY8xR5jOqxqk8r0mqnrRNZ0K1zNSY1UYpl2UKIdowLapSNfN3CMBnpJQvGzoTSZuo6lL8DdZSr0z+XqXKFFXfSd4/1d/J5ysr8Sb8nUqtM936ZYLRc+SiTsRaeo68ayiejxCzSVbGTOVPtPxOkTh9bHmpV+l7vR7tc6hU01R+Xk9lLRu/SJ9qD6p2D84oESZvr/P7cEZFieZ39aqyDCrzqeqktEnV/gbL4XjvLuqUNkq1zChmtVE6yzK/B+D/lVIullIuBnAzpid7xCK0VJc2b0hUu9y8IX31zGT1neTjtdQy488X/fvhFw6kdb5cqEYZPQeVrAgh2aKnjKnlT7T8Tk1FCf728rPgK/bgO8+9jbuuak74vn11E57o6EbrgoAh1bRMVNbMUAmlT80tqnZvrQ/Mei7YvKEFKxoC6mMajNmY0Tqp1DhXKM7b2hAwRdWTtulMWoJVmmqZLcEqm2vmHM4JVmi20TlBY7abjlrmq1LK85K2vSKlXGWwzqbgFiXCbJUZE5WkfFhWW4U3Bk6iLxRGMODD0rnl6OobjqnptAb9KCsrVp5/QaAM+/qHYscvr/PjSGg0puoU/T56vrPmVsbUMoN+H1pm1DLTVYHKhWqU0XOYVCeqZepgpVqm0XoUsBJnwdmo1cT744Y5Zagq9eLYyGllzKC/FFW+YvRp+Pt4v1NbOa2qeWx4DMUzSpsNc3w4MTKBoyfHMKe8GCfHJlBT4UNzvR8TE1PY2zeU4OdLS73KsSVaz6ifb64PpBTGyMYvZnGsqWqZbsfo84JKaTIcnsTe3hD6hsYQ9JeitT4An8+rccxp21DZTHZ1Ol2Oqk6pzptsUzke7+lDLSI0GsYbcUqQy4IVCFAtM4E0FUWzVsv8LyHEAwB+BkACuA7A74UQqwBASvlKBnXPa7JVatJSy4wev3KhQDg8iR17e2ep6axvrYfP59U9/8qFp8+vpzy5ZWML7t15Wi1TTx1Ti1yoRhk9B5WsCCFGSVYbjvrHOeXFuOWnr6K6vAQ3XrQI9zyjrZyp5XcWz030QQurp33wDd/7U6yMe68/DydOTeArceqHX98wfd5bf/aq5rm8Xg9WLqzGyoXpX182fpE+NXsyUX7Wej64Ynkddu4f0CwHgPKZQstmzKrT6qZa7Ojs1VTwLCkp0rRVlU1xvHc/o6MT+E8NJcirWoIJLycKmXB4UlNRNPp8ny7pLMtcCeAsAHcB+CqA5QDOA/BtAN8yXvX8J1ulplTH7+0Naarp7J1RuDJDSfKO7YlqmVSaIoQUIioVyo4jIYQnIrh61YLYxC76vVF/qeWD93aHYhO76LavPNaJvd0hqgDmEWYpP+spSlqtLp2JgicpPPb2DWk/u/YN2Vwz55Dq+T5d0lHLvEznszqz6uc32So1pTperYo1ltH5U6lzGq0/IYTkCyqlvsjMql+j6sVapFLV1DpvpucizsKs8VpPUdJqdelMFDxJ4UG1zNSker5Pl5STOyFEnRDiISHEb2b+PkcIcZOhsxQY8YpqUYwoNaU6PqqKlfx9VE3H6PlV+yerZVJpihBSaESV+uLxFXsQvzotG38PaPvgqKqm3nkzORdxFmaN1yo7nVflM+0cRvdXP6vQXguRuhTPriT18326pLMs8wcA/hNAw8zfbwL4gqGzFBjZKjWlOr61PqCpptM6o3BlhpLklo2JaplUmiKEFCIqFcoVCwLwFXvwy5eP4LY1qZUz9dDywS3zA/h6kvrh1ze0oHV+gCqAeYRZys96ipJWq0tnouBJCo/WoF/72TXot7lmziHV8326pKOW+Wcp5QfiVTOFELullOdmVvXscItCUabKTlFlqsbqchw+fip2fPTv6PfByhJ09p1MqZapOj65Pqr9rVS7zDXZKpjOUHAqWlTLdB0FZ6PZkI5fiFf2m19dBp+3CAPDYygv8WJiagpzK0sxFQEGhk/7SwCG/I3WmDE5GUFHTyhWxoqGaUVB1dhiko/LGAPnp1pmHCr1SxXj41Po6AmhbyiMer8PrQ0BlJQU6T53GD2HWeqU0brG23BJSVHmjaU4r8k2Tx9qEcOjYbwWpwR5TrAClVTLTODU6HjC831LsArlZSXJu2WtljkihKjBtFImhBAXAmA0bAqMKDXpKVNpqVkuqinDraubEtTbkpWs4s+fjvKVVn3zSWkqWwVTQkj+ka5fiCoKts7X3n9V4xnweATeN6/SULnxaPngkpIitC0+Y9a+Wr7Zbh9n9/ndip46tla7TU5GsGNvzyz11o0r58Pr9Shtw8g5APPUKVU2bAa0OXcxPj6FJ7sGlOqpZLp/P/lav7J/p0s6e94OYAeA9wkh/j8ADwO4NbNqEy1SKVMlf79uxfxZ6m1mKl/lI2wDQkgyVqkI2uFv7PZxdp/frRhtN5V6a5eOml6+3pt8va58paOH6qmpyKR/a5GOWuYrAP4bgA8C+ByAZillh/EqExWplKmSvzeqzpatemc+wDYghCRjlYqgHf7Gbh9n9/nditF2U6li9oXU7Zyv9yZfrytf6VPcL6qnniaT/q1FOmqZHwNQJqXsArARwLZoAnNiDqmUqVTfq/Y3Wn4hwDZIZP7CRggh0voQkq9YpSJoh7+x28fZfX63YrTdVKqYwYC6nfP13uTrdeUr9Yr7RfXU02TSv7VIZ1nmV6SUJ4UQFwNYA+AhAP+W6iAhxEIhxLNCiNeEEF1CiNs09vmQECIkhNg987nTUO3zhFTKVMnfP76ne5Z6m5nKV/kI2yCRniPv4roHXkjrQ0i+YpWKoB3+xm4fZ/f53YrRdlOptzbrqOnl673J1+vKV1obqJ6aikz6txbpqGW+KqU8TwjxzwD2Sil/Gq+cqXNcPYB6KeUrQogqAC8D2CilfC1unw8B+Hsp5bp0K2yXQlEqRaZsFZsSlax8WF7nx5HQaKy8BYEy7OsfiildLa+rwpHQaNZKVtrnT62kZbR9nIBR9S8FeaGiZaUCJtUybScvbDQTMvFD6fiF+HIb5vhwYmQCvUPTvrq5PqDpK6PHvDcyhuIiD06NT+nWSX2O9P2x1rUAxlQ7s8GAj6VaZhyqdlONy/HqrcE4G9Szf9U5jPYZ1f5mbTer7bKkYH2o1YyMjqGrbzimBNkcrERFGfPcxZMrtcxuIcQDAD4M4BtCiFKkF6vXC6B35v8nhRD7AMwH8JrugQ4klSJTtopNWkpWWza24N6d+3FocFRXHTNbJStgemK3fU93xuo8blGsMqr+RSzG4+WyT2IamfqhVH4hvtzq8hLceNEi3PPM/pTn8HgEFtdU4PW+kynrFH+Os+ZV4voLFuFrj3cZ9sfJ15Jr30wfmxla7ZZqXF65sBorF54uI9W91jqHUftQ7X/F8jpNNU6j2zOxS9qcewiHJ/HrzqO4c0ecWub6FqxvrYfPl850JP8JhyfxRGd/1m2UzquZazGdxPy/SylPADgDwBeNVFYIsRjAeQBe0vj6IiHEHiHEb4QQzUbKzRVG1SyNKjZpHX/H9k6sWzEfgHF1TKNkq85DxSqSEZHJtJeGcnkoSYVVfii+3KtXLYhN7NI5Rybqmn9z6ftiE7voMZmopRk5P3EeRsflTO61WWqxXb0hU7bTLvObvb2h2KQFmFHL3NGJvRn4tnzFrDZK5w3cKSnlr6SU+2f+7pVSPp3uCYQQlQB+CeALUsqhpK9fAbBISrkSwL0AtivK2CSE2CWE2DUwMJDuqU3DqJpl8veZlh99qWFUHdMo2arzULHKfhslJBX5bqNW+aH4cq1SKo7fb3Rs0hS1NCPndwL5bp9GMTouZ3KvzVKLVdXV6HYn2mU8tNHs6BsaU6hljtlUI+dhVhulH1SVAUKIYkxP7H4ipfxV8vdSyiEp5fDM/58EUCyEmKux34NSyjYpZVttba2VVdYkUzXLdBWbVMfHhwxZqQiVrToPFavst1FCUpHvNmqVH0ou12p1zfJSrylqaUbO7wTy3T6NYnRczuRem6UWq6qrert77DIe2mh2BP2lCrVMxtxFMauNLJvcielgmocA7JNS3q3YJzizH4QQ58/UZ9CqOmWKUTVLo4pNWsdv2diCJzq6ARhXxzRKtuo8VKwihNiNVX4ovtxfvnwEt61pslRd8zvPvY27rmrOWi3NyPmJ8zA6Lmdyr81Si22u9xvcHqBdFiCt9QFsXp+klrm+Ba0Z+LZ8xaw2SqmWmSkzqROeB7AXQPQd4z8CaAQAKeW/CyFuAfD/AJgEMArgdimlbnCNXQpFyWqWyQpp2So2jY9PoaMnhL6hMIJ+H1qCfvScDMfKa6wux+Hjp8xWhJp1fcnqW+likWKVE8kLFS2nqGUaiaWzUokzz8gLG82EVH4oXYW++P3KS7wYn5pCSVERJqamMLeyFFMRYGDYHKVirf3qA9NqmX1DmfnjTM6fY6iWGYdKFTP5uWBFQwAlJUXKcjK510aPSaW6me12h1CwPtRqqJaZmnB4Ent7Q7E2aq0PaImpZK2WmRFSyj+kOrmU8j4A91lVB7PQUrNMVnbKRrFpcjKCHXt7NFWx4suzUhFKS33LCFSssp/5CxvRc+Rdu6tBiG3o+aF0lQG19mtf3YRtuw7jH9Yux6rGM+DxCLxvXvZKxXr7LaoBVhq49mzPT+xBpYq5vrUBv3vjqCFFyUzutdFjVPubtZ3kL+PjU/h111Hc+VicEuSGFmxc0aD7o0Wh4fN58YEza7Iqg9qjaaBSiDq7/RJTHJNKFatpXiVWLqzOunxSGEQTk6fDts990OLaEOIs0vXjWvtt3bkfN128xFS/TwigHv8X11RY+txBSK7p6AnFJnbAjBLkY51YMrcCbYvPsLl2+YWlgir5gtWKY9mqVRJCCNEnE+XK+P2iSplOV/Qj7kI5/rtI6ZSQdFDZdP8QbdpsOLlLA6sVx7JVqySEJDGTID2dz/yFjXbXluSATJQr4/eT0h2KfsRdKMd/FymdEpIO9QqbrvPTps2GyzLTIKoQlbz23Wy1yuQ195mooxFCEEuQng5coloYpOvHtfaLxtxR0Y+YjWr8X9EQsPS5g5Bc09oQwOYNLbNi7lY08FnXbApmcpeuSpoWHo/A2uYgzm6/JEG9MtPykvF6PVjf2oDFNRUJqliZqqNlQjbtQwjJb/LBP3g8Alcsr8O2TRcmqBImX0e8v59WyyzCxFQEa1uCsQfrAwPDhhQ33dpmbscN9yB5/K/3+9A6o4qZ/NyRqv4q1U2SG9xgb3ZSUlKEdc11WFxTHlOCbAlWUUzFAgpicpeuSpoe8cpOZpSXXD+jqlhmYvb1EOIqZpZwpkPDgoXofvewxRVyFvniH9JRPY6iUvLLRnHTjW3mZtxyD1KN/+kqSqpUNzeunM8JXg5wi73Zyfj4FJ7o6qdaZg4oiB6vUkk7ODiSl+W57fyE2MrMEs50PoWYaiJf/IMZ15FuGfnSZm7GLffArHqqVDe7ekOm15nMxi32ZicqtcyOHtqo2RTE5M5stUunl+e28xNCnEu++AczriNbxU23tZmbccs9MKueVN22F7fYm51QLTN3FMTkzmy1S6eX57bzE0KcS774BzOuI1vFTbe1mZtxyz0wq55U3bYXt9ibnVAtM3cUxOQuqn4WNapsVaecXp7bzk8IcS754h/MuI50y8iXNnMzbrkHZtUzqroZXw5Vt3OHW+zNTqJqmfFtRLVMaygIQRUttctsVIycXh6QWjUrWdXpiuV1eNLE8xNC8gMr/JMdmHEd2Shujk9FcHBwJK1zUnUve9xit7Ntyofm+oDhenq9HmxcOR9N8yrRFwojOFNOKjEVKmyag1vszU5KSopwVXMwQS2zNeinmEoSZvj/gpjcAWr1s3wsL5Vqlp6qk1nXQ7Jn/sLGghTwIM7DbH9nF9leh1HFzcU1FXi97yQ+/YM/p62gR9U983CD3RqxqVR4vR6sXFiNlQvT258Km+biBnuzk8nJCH79Wh/tTQez/H/BTO4KCZVqVtO8SqxcWK1UdTq7/RI6JQfRc+TdtBNxA0zGTYjVGPWdmfha+ufCws77nepZgRAzob2lxix/wKlyHpJKNYuqToQQYhyjvjMTX0v/XFjYeb+psElyCe0tNWb5A07u8pBUqllUdSKEEOMY9Z2Z+Fr658LCzvtNhU2SS2hvqTHLH3Byl4ekUs2iqhMhhBjHqO/MxNfSPxcWdt5vKmySXEJ7S41Z/oAxd3lIKtUsqjoRQohxjPrOTHwt/XNhYef9zlRhk5BMoL2lxix/wMldnpJKNYuqToQQYhyjvjMTX0v/XFjYeb+NKmwSkg20t9SY4Q84XSaEEEIIIYSQPICTO0IIIYQQQgjJAzi5I4QQQgghhJA8wLLJnRBioRDiWSHEa0KILiHEbRr7CCHEViHEW0KIDiHEKqvqQwghhBBCCCH5jJWCKpMA/k5K+YoQogrAy0KI30opX4vb5yMAmmY+FwD4t5l/HU8kInFwcAT9Q2HU+almRgghboS+nNgNbZAUCrT13GDZ5E5K2Qugd+b/J4UQ+wDMBxA/udsA4GEppQTwRyHEHCFE/cyxjiUSkXiqqw+3P7Ib4YlILA/F2uYgjZSQfMbjhRDp9fGGBQvR/e5hiytEsoG+nNgNbZAUCrT13JGTVAhCiMUAzgPwUtJX8wG8G/f3kZltjp7cHRwciRknAIQnIrj9kd04u/0SSlcTks9EJnHdAy+kteu2z33Q4sqQbKEvJ3ZDGySFAm09d1guqCKEqATwSwBfkFIOZVjGJiHELiHEroGBAXMrmAH9Q+GYcUYJT0Rw9GTYphoRu3GajRKSDG10NvTlzqFQ7ZM26B4K1UbNgraeOyyd3AkhijE9sfuJlPJXGrt0A4hPZbhgZlsCUsoHpZRtUsq22tpaayprgDq/D77ixKbzFXswr8pnU42I3TjNRokDmFnCmc5n/sJGy6tDG50NfblzKFT7pA26h0K1UbOgrecOy5ZliunAlIcA7JNS3q3YbQeAW4QQP8e0kErI6fF2ALC4pgJ3X3vurHXDi2sq7K4aIcQpcAmn46EvJ3ZDGySFAm09d1gZc/cXAG4AsFcIsXtm2z8CaAQAKeW/A3gSwJUA3gJwCsCnLayPaXg8Amubgzi7/RIcPRnGvCoq/hBCiNugLyd2QxskhQJtPXdYqZb5BwC6d2xGJfNmq+pgJR6PwJLaSgaBEkPMX9iIniPvpt6RFBYGVDgBKnGaCX05sRvaICkUaOu5ISdqmYSQaXqOvMulemQ2BpZwArQNQgghhGhjuVomIYQQQgghhBDrEdMrI92DEGIAwCG76xHHXADH7K6EDk6vH+D8OsbX75iUcq3ezils1OnXagWFds12X2+2NpoL7G4jM+A1ZI6ujcbZZz60sREK7XoBZ15zPo7zTquT0+oDOK9OevXR96Fum9w5DSHELillm931UOH0+gHOr6OZ9XP6tVpBoV1zoV1vJuRDG/EarMfp9TObQrteID+v2YnX5LQ6Oa0+gPPqlE19uCyTEEIIIYQQQvIATu4IIYQQQgghJA/g5C57HrS7Ailwev0A59fRzPo5/VqtoNCuudCuNxPyoY14Ddbj9PqZTaFdL5Cf1+zEa3JanZxWH8B5dcq4Poy5I4QQQgghhJA8gG/uCCGEEEIIISQP4OSOEEIIIYQQQvIATu4IIYQQQgghJA/g5I4QQgghhBBC8gBO7gghhBBCCCEkD3Dd5G7t2rUSAD/82PVJCW2UH5s/KaGN8mPzRxfaJz82f1JCG+XH5o8utk/uhBDLhBC74z5DQogvqPY/duxYDmtHiHFoo8Tp0EaJk6F9EqdDGyVOxmt3BaSUbwA4FwCEEEUAugH8h511IoQQQgghhBC3YfubuyTWAHhbSnnI7ooQQgghhBBCiJuw/c1dEh8H8DO7K0Hyk0hE4uDgCPqHwqjz+7C4pgIej7C7WrbB9iCEEOJmOI6RfMMMm3bM5E4IUQJgPYAva3y3CcAmAGhsbMxxzUg+EIlIPNXVh9sf2Y3wRAS+Yg/uvvZcrG0OmjIQuM1GrW4P4jzcZqOksKB9EqPkehyjjRKrMcumnbQs8yMAXpFS9id/IaV8UErZJqVsq62ttaFqxO0cHByJdRYACE9EcPsju3FwcMSU8t1mo1a3B3EebrNRUljQPolRcj2O0UaJ1Zhl006a3F0PLskkFtE/FI51lijhiQiOngzbVCN7YXsQQghxMxzHSL5hlk07YnInhKgA8GEAv7K7LiQ/qfP74CtONHdfsQfzqnw21che2B6EEELcDMcxkm+YZdOOiLmTUo4AqLG7HiR/WVxTgfs+cR46joQQkUCRAFoXBLC4psLuqtnC4poK3H3tubPWdeu1R6EFrhfa9RJCSK4w6l+19s9kHCPEyZj1rOqIyR0hVhOJSJw4NYEHnzsQGwS2bGxBJCIL8oHd4xFY2xzE2e2X4OjJMOZV6Q+uhSbAUmjXSwghucKof9Xb38g4RojTMetZ1RHLMgmxmq7eEO7Y3pkQpHrH9k509YZsrpl9eDwCS2orceGSuVhSW6nrOApNgKXQrpcQQnKFUf+qt7+RcYwQp2PWsyondyRviUQkDgwM48W3j6H7xKhmkGpfiIHX6ZBJkG98+x8YGEYkIq2upmkwUJ8QQqxBz79qjRv0x6RQ6A1p27rRZ1UuyyR5SfIyjvs+cR58xZ6ETuMr9iAYYOB1OkSDfJPbTxXk6/ZljUavlxBCSHqo/GttpU9z3FhWV0V/TAqC+kCZ9rOq35it880dyUuSl3E8+F9v466rmmMqRNF1zM31ATur6Rqigevx7acXuO72ZY1Gr5cQQkh6qPxrkQea40aRB/THpCCYU+6d9ax611XNmFNRbKgcvrkjeUnyMo6O7iHgpUN4+NPn4/ipcQQDPjTXB+D18veNdDAqwKK3jGZJbWUuqpwVRq+XEEJIeqj860vvDGovSRsK0x+TgqDnRBg/e+kQvnnNSoyOT6KsxIvvPvc2zpxbjkU16T87cXJH8hKtZR9vHh3G3KpSnL+EWTcyIRq4ns7kLB+WNRq5XkIIIemj5V/1xg36Y1II1Pl9ePPoMNp/9mpsm2vz3BFiNszjZi/5kH+I9kAIIdbAvHWEzIZ57gjRgXnc7MXtyxppD4QQYg3MW0eImvFJmZDn7u5rzzVcBgOOiGswKq3PPG65QXVf3Jx/iPZACCHpY2R8Zt46QrQx69mDb+6IK7D6TYrbBUDsIl/fcNEeCCEkPYyOA/SvhGij6hv9Q8b6Bt/cEVdg9ZuUaCB3PG4TALGDfH3DRXsghJD0MDoO0L8Sok15iVezb5SXFBkqh5M74gr0fukzA+Y1ywyr74td0B4IISQ9jI4D9K+EaDM+NYX21U0JfaN9dRMmpiIpjkyEyzKJK7BaWt/tAiB2kQ8pD7SgPRBCSHoYHQfoXwnRpqaiFNt2HcZNFy+BEICUwLZdh7G2JWioHE7uiGOJl0qeV+XDfZ84D7f89NXYmv77PnEepARefPtYWlL1qaTtmUdHH6PS1U5LJWC0PrQHQghJTSbjgFn+1ahfd9q4REg8i2sq8M9Xt2ByCnhvZAJnVBTjL5ZWMxUCyQ9UAdpP3XYJ+obCCPp9eK33JD567/NpBXDnq/BHrjAqXQ3AUe3N+08IIdagehMHWDsOGPXrHAeI05mcjODI8THc+VhnzEY3b2jB5MIISgzE3Tki5k4IMUcI8agQ4nUhxD4hxEV214nYiypAOyKBC5fMRUTCUAB3vgp/5Aqj0tVOa2+n1cfJzF/YCCFExp/5CxvtvgRCSI6xYxwwWj7HAeJ0OnpCsYkdMG2jdz7WiY6ekKFynPLm7h4AT0kprxFClAAot7tChYbTlir0D4VRXV6Cq1ctgJipxi9fPhKTSjYqpUzp5ezIRXurbNAM2+T9T5+eI+/iugdeyPj4bZ/7oIm1IYS4AS0/bbXf5XMAyTf6dFIhGMH2yZ0QIgDgUgCfAgAp5TiAcTvrVGg4calCfcCHGy9ahHue2R+r021rmhD0TwdoGw3gzlfhj1xhdXurbPCK5XV4el9/1rbJ+08IIdag8t/L6qos9btG/fq8Ku39ays5DhBnUK+w6Tq/MRt1wrLMMwEMAPi+EOJVIcR3hRDUw80hVixViEQkDgwM48W3j+HAwDAiEWnomKHRidjELlqne57Zj6garFEpZUovZ4fV7X1wcATfeGofbrp4CW5ZvRR/c8kSfOOpfejqDZlim7z/hBBiDapniCIPDPtdI88Oi2sqcN8nzkP7mqW4ZfVS3LZmKe77xHnK8os8wG1rEmXmb1vThCInPAkTAqCi1IN/vro1wab/+epWVJYaM1Lb39xhug6rANwqpXxJCHEPgP8J4CvRHYQQmwBsAoDGRsZzmI3ZSxUyeROYfEz7mqWadRoYDuN98yoNSylbLb2c7zaaSfuVeAU2XboEEQl4xPTfKgZHxnBdWyO27jz9prZ9dRMGR8ZMsU1Kb+e/jRJ3Q/t0L6pniL6hsCG/m8mzw/ikxIPPHUjYX0VvKIyHXzyUIDP/8IuHcF7jHCyem3o8oY0Sq+kbCmNweDzBpv/+imXoGxrD2fXpl+OE3yuOADgipXxp5u9HMT3ZiyGlfFBK2SalbKutrc15BfOd6NKGeJKXNqT6NS3++73dJwy/bUn+5S8igUU1Zbj5sulfL25ZvRSLasoS6qQVwK2H0f2N4GQbzeQtqhZG2u/g4Aj+/fdvYem8KiycU4ameVX499+/pbSBkiJPbGIHTNvM1p374feVpLRNK+qfjzjZRgmhfToLI+OG3jOE0XFD9eygVR+jq47q/D4cPzWO+599C/ftfAv3P/sWjp8aT3s8oY0Sq6koKca3nn4jwaa/9fQbqCgx9i7O9jd3Uso+IcS7QohlUso3AKwB8Jrd9Sok9HLUAKl/TUv3rZve25bkX/6ee+MoPn/pUnztia7YObdsbEFjNbV2jGBXPGVodBx/uaoRX3p0T+y8d61rxtCodjjtqfEpTZuZmIro2iYhhBBzMTpuNFaXY8vGFtyxvTOr8Vr1BvC9kTG83ndyVn2qy4sNPWuketYhxG5CoxOaNh0KTxgqx/bJ3Qy3AvjJjFLmAQCftrk+BUWqJWuqX8fObr8ES2orNd+6GQ2iTg6MvuSsebGJXfScd2zvxKrGaqpaGSDVvbOKqQhm3b+vPdGFH990geb+qsD4Or8PF5xZU9DLKQkhJJcYHTcOHz+Fe3fuT1jueO/O/YbHa9U4UFzk0azPtk0XGXrW4PJ84nT8ZcWaNu33FRsqxxGTOynlbgBtdtejkIkunchEPrh/KIyz5lXiby59H0bHJhEoL8b/unI5/veT+xJ+HWusLseBgWFNSfvkX9SKPKBksQnYJf18bFg7Vu7Y8Jjm/nq/qEYiEifDEzhxagJlxV5EIpKDMSGEWEQmKQYODY7i/mffSthudJyJCqR0HAkhIoEiAbQuCOis7JjK+E2czCw6gRBLOTE6gS+vPRuDp8ZjfeCM8hKcGHXnmzviYFLJDTfM8eH6CxYlLMH72vpm/PLzF+Hk2CTmVfnQWF2uK2mf/ItaWbE3FlCqdU6SHnalAKgPlGmetz6gPq+WAMvkZAQ79vbMWu6zceV8eL1OCBkmhJD8ws5UQ1oCKUtrtcufW1mKE6MTaQt3OTHtEyHxBP2lOHhsJKEP3P7hs1BXVWqoHE7uCoRUiaAnJyPo6g2hNxRGfaAMy2or8cbAydjfD9ywCp/70Suav46dGJnA1x5PXIJ3144ubPvshbhwyVwAwIGB4ZTLPOLfHkYikmvjTSDVGzEjycGTbaS53g+v16NZTnO9XzMGo7k+oLn/wcER3PLTV2cN3j++6YJYGcDp5blN8yrROn9O1snNCSGkEDDi743GppkVyxafEkfMVO0bT+3D9/76fM03elMRaI4bT7Zfgsbq8lnj1eHjp2wJUyAkXSYmJe7+7ZsJNnr3b9/ETxQhLSo4uSsAUv1aNTkZwfY93QkP4pvXt+D+3+/HocHR2IP5f37hEvSGZq9T7z+pvYSj/+TpJXhGl3lwbbw5qNoRgKFfMLVsZMvGFqxvbcDv3jiqWc7GlfPRNK8SfaEwggEfmusD8HiE5nlrq0qUUtqatjU0hu4T/AWWEEJSYfSNldWpb1SoUuKcDI9rvtF775T28v+h0XFsP3x81njVEChjuAdxNO8p0j+9N6Id0qLCtHVNQog2IcTfCiH+RQixWQhxrRCi2qzySeakkgvu6g3Nejty545OrFsxP/b3Hds7ceLUhKaccU1FqaYM8hkVJbG/00m3kEyhS9ebhVY7GpWQ1rKRO7Z3oqNHnWTc6/Vg5cJq/PeWeqxcWA2v16M8b0mRR9M+6hV2c0ZFiSnJzQkhJN8x6u8B46lvbvnpq9j6zHSKga3PvIVbfvqqYX+sSokzGYGhcWMyAs3xqtSrvT/DPYhTCJRrp38KlJcojtAm68mdEOLTQohXAHwZQBmANwAcBXAxgN8JIX4ohGC2RxvRe2sGTCf2TP6+urwEZwerYjnmqstL0H1iVDPnTQQS7aubYgYZ/bUtPDEZ27+xuhx3X3tuwj5cZmkfqWwiGS0b0XuzdvRkGJOTEex59zie6uzFnndPYHIyojzvqfEpTftobQhgy8aWhO1bNrZAQhqqPyGEFCpG/X0m5Z81rxJbrz8P37i6Ffdefx7OmldpuHyVcIpKoEs1bqj2HwqP8zmEOJrjpyY0n6ePn8q9oEo5gL+QUo5qfSmEOBdAE4DDJpyLZECqYOdk8Yv6gA83XrQIX4wTSLltTRO8Hg+u/85Ls5Z01FSUYtuuwwkyyNt2HUZ4cj62PvNWbP8rltfhSS6zdARGA+BVAilBRTn1AZ/mMs6VC+Yoz6tKeaC1vPPw8VO2CMUQQojbsFpYS0tU7a6rmnUFtLSYV6UaT7THH1WqnL3dIc39z6goRev8OQz3II6lpqIY/6TxPP2ta1YaKifrN3dSyvtVE7uZ73dLKZ/J9jwkc6LBzvG/BNz3ifMgJfDi28dQWVKEf7lmRez7j7UtwD3PJC6NuOeZ/Tj83kjs7/glHYtrKvAPa5fjoT8cwH0738JDfziAj3+gEb/YdSRh/yMnTgGgBLET0LIJvV8wowIpyW/QVjQENMs5MTKhuSxmZGwSt3/4rIT9b//wWSjyqJcBaS3vjEpmt6+ZfrN825qluO8T5/EXWEIIScKovzeKlqja1x7vwokRY28bijzAP37k7AS//o8fORtzyr0p6x//XKEar6Jx3wz3IE6l1OvBZy9ZgqKZ2ZnXA3z2kiWzlmqmwjRBFSHEmZhORr44vlwp5XqzzkEyIzk4Ouj34bXek/jovc/HfmX79sfOxaOfvwjdx0fh8QjNJQ0nRicT/o4GISeXLyDwhW270Rs6vSSjurwErxw+gX/8j70UwHAARgPmvV6P5hs0r9ejWc7Tr/VpLwMaHkNpkSch8L60yINjw2NYPNdYQLtWgD0hhJBErBYo61Us++wbCsPI+4aB4TGMTkQS/PrfXn4WBk6OGRYGU41XhDiZwZFxeD2ehD7w1aua8d7IuKFyzFTL3A7gIQCPA4jo70pyTXyaAa20BH/3i914sv0S/PeWehwYGNZc0hD/y1jyko7k8o+fSjTEj7UtiE3souekBLG96CWu1yL6Bm3lwtTlqJbRVJcVo/1ns6Wrt2260FDdVQIBtCdCCJmNUX9vBOWyfYPLMkuKPPjX3yXKwP/r797Etk0XatY/VYolrfGKECdTXuLFVx9/JcGmv/p4Fx7+zPmGyjHzZ4ywlHKrlPJZKeV/RT8mlk9MIlVw9eKaCnz7Y4lLIL6+oQVPdHTH/k4n50388WfNq6IAhkuIRCQODAxriueki2pZzMSkthDKqfEpQ+e1WiCAEEJIeugtgzTi11WCKqfGpzT35zhA8o33hscVqRDse3N3jxDiLgBPA4glZJBSvmLiOYgJpAqujkQkIjKSsHTOX+bFQzd+AMdGxlIu6dBaAiIlKIDhAozmQ1KhWsapJ4Ri5LxWCwQQQghJD5W/V+U1NerX6/zafl0lwFJbyXGAuJP6OWrxOiOY+eauFcBnAfwfAN+e+XzLxPKJSaQKru7qDeGLj3Yk5Kz5pyf34cTohFIMJfnXOQAJQctnzrU2oJuYQyb5kFIxbTLTA7nK9oo82nmMVOe1WiCAEEJI+hjJa3pwcETzjZ5Rv17kgVKgixA3UuIFNq9vTrDpzeubUVpsLD7WzDd3HwOwREpp7N0hyTmpgquTc5rVB3y4rq0Rn3zoJc1f39J522N1QDcxB71lLkZiNSYnI5qpEDaunK9pBy+9M2jovLQnQghxNqrx5L2RMbzed1LzmcGIXx8wUaCLECdwbHgMxd5Emy72ejA4PJb64DjMnNx1ApiD6QTmxOHoBVcnB0dfvWoBtu7cP+vXt2jQcrriFlYGdBNzMGu5Y1dvSDMVQtO86SD3ZDvI5Ly0J0IIcS4qv15c5NF9ZkjXr5cUefDPT72etUAXIU7B5/Xiy796ZZZN/8igoIqZk7s5AF4XQvwZiTF3TIVgAePjU+joCaFvKIx6vw/NQT96TobRPxRGnd+HxupyHD5+KvZ3qrcakYjEwcER9A+FMa+yFP9yzQp88dEOhCciKPJA961Kum974s+RTp1I7llcU4F7rz8Pe7tDiEigSAAt8wNYXFOByckIunpD6A2FUR8oQ3O9Xykt3RsKo7q8BFevWgAxc4t/+fIR9IXCaJ0/2w6iy3GSf8nlMktCCLEO1bhsdLzW2j+aj7TjyOnxpHVBQCmcYnSFiJ4AC583nAnviz6DI+Oaz06DNgqq3JXpgUKIgwBOApgCMCmlbDOrUvnI+PgUtnf04M7Hpt+MLKopw80fasKdOxKXwN27cz8ODY6mDGLWWlYZn/dubmVpLOdGlPig5XTeupgl1EGsZXIyghOnJhJyrHx9QwvGxibx69f6NJdZak3wFlSX4caLFuGeZ/bH9r9tTRPmzynTtIMrltehxCsSliKUeGkXhBBiFapx+YrldXh6X3/a47WqnMuXzZs1nmzZ2IJFZ1SYIoSiFlQp5fOGA+FzYGrmz1E9O9knqHIYwEtxKRD+BOCQgeMvk1Key4mdNvHBx3u6T8QmdgCwbsX82MQOOL0E7u+uOBu3rF6Kv7lkCb7x1D6lOMXBwRF846l9uOniJbH9v/mf+1Be4sV/b6lHTWUJblvTlBDgeduapljQcjpB0FYIdeQzZqQjiDI5GcGed4/jqc5e7Hn3BCYn1WkoO3pC+Mpjibb0lcc6sbdvSHOZZVdvSLMcn7co5pyi+9/zzH5EIDXtoKs3hFt++mqCiM8tP32V9kEIIRahGpe7ekOGhFBU5XT0hHDvzv0Jzxb37tyPkbFJU4RQijzQfDYJT07xecOB8DkwNWOTEc1np7FJY8+AZr65+wWAD8b9PTWz7QMmnqMgSf614xt/2ZrwS5UQ2ssm3zp6EvftfAu+Yg/aVzfhvZExzSUPgyNjuK6tMRZXl7x/byiMh188hJsuXgIhACmBh188hPMa58SCllO9dTFLqKMQMPPXLT1hE603bn2K+9Q/NKa5vS8U1kwSOzCsvX/PCe3yk0V8ottpH4QQYg2qcVnl7/uHwppCKNXlxUr/rfVscWzEHCEU1bPJmXMrOJ44ELW98b5EUT+DGcvdaOabO2+8UubM/0vSPFYCeFoI8bIQYpOJdXIt8b+O7e0O4RtP7Yvd8PISb+yXqihaf0/N2Ed4IoJtuw4DEJpvgkqKPLMEU7bu3I/imZ/R6vw+HD81jvufnX6rcv+zb+H4qfHYssuDgyMp37pEl24m15F5yWZj5q9bKmET1Ru3esV9qvOXam4PBrTvn8pG51Zql1MfoH0QQkguUfnpMypKNLeXlxRpjk2qcmorSzWfLfy+YnzvhXdizygRCXzvhXdizxzpono24XjiTFR2Ul5SZFONnMe8Ku1npNqqUkPlmDm5GxBCxMRThBAbABxL89iLpZSrAHwEwM1CiEvjvxRCbBJC7BJC7BoYGDCvxg4l+ubmyq3P4/rvvITrHnwR17U1on7mQfo7z72Nu9adzoPx+J5ubF7fkrA0oX11E371yhEAiakMrv/OS7hy6/N4qqsvNsEbCWsHJY+MTQFIvexS761clMbqcmzZmFjHLRtb0Fhdbl7D2YiZNppOe6aL6o1Yb0i7rOagf5YtbV7fguZgJTZvSNq+oQXL6/ya5URkJMFGfcUe3LWuGSVeoWkHy+v8zFtnMYXmR4m7oH3mnrHJKbSvbpr17BCRUtMfj09FNMcTj5Ca40NESs39Q6cmcF1bIx76wwHct/MtfPf5A7iurRHjU4n7pkL1bNJcH7BkPKGNZofK3oze93xmdHxCs41GxycNlWPmsszPA/iJEOK+mb+PALghnQOllN0z/x4VQvwHgPMBPBf3/YMAHgSAtra2zIOPXILWm5utM+vW73/2/8/evce3Vd/343+9ZVuWb1Icx7Fk50aIE4IvAeoCZW3XBkrTNk0yxqXtNtbLvvS7bym0tOtGx8LI0u3XbWVfKHy/LRtdm16hpQuBUkoL9NsLtGu4xLETSNJAIInlOCGRr7Js6/P7w5Kiy/lIOvKRdSS9no+HH4mOjj7no6PP5yN9pHNe5xB6jw3D+fxr+OZHL8aJkUm0uF3o9LrRs6IRJ0aCqKmqwE3feyH2AT7TpQyqqxyGJyU7I4ftZbqmWDaBKq+dHo8dex89fOLLTx3ERcsaS+LneCvbqFWXIwCA5sgvZcllLao3/hbo+EgQ9/488XW69+cHscZbj3ufTlr+9EH0LDd+/Rwi+MovDiWs/5VfHMKXrrlA2w543br8KrdxlIoL2+f8qxDBA7tfSxiPH9j9Gi4+Z6HhePzqqTHD95PJaWX4/nDnNRcYrt9Y5zT8Rc/sJQzSfTbJx/sJ2+jcpGtvNKvGWWW4j/7l6nWmyrFscqeU+j2AS0WkPnJ7NJvHiUgdAIdSaiTy/ysBbLOqXsVI98tN9IgFV5UDH33ruXjT8oWxwSr6K5xSgKemCn+38fxY/PB53gY01joTfq0JToVxJBJHKwJ8+orV+LefHUg4Ln4keDZ6Nd01xXQx9g4Bnv39SbS4XTg1NokjpyZw79OHEh7LY+BTWXlZAIcDuH1jB+54tD9W1u0bO6C5ggEGh4OGr9NAIIhQ3Am9IkBoWmlfv/HQjOH6b4yFtO0g+vwU3zKJiCxlFEEfCIYMz4kbCYYM3/N1700nRycNx/vhYMhwfQXjX/TGQzOmn5fuswmvg2o/gWAIH7p4ecJnzU9fsTrhs2a5OzMxZbiPzkxMmSpnzpM7EflTAN9RSoWB1EmdiJwLwKeU+pWmiBYA/yWzF3SojJT1+FzrVcx0v9xcft5iXHZuU8q3UMkBHMubavDJ9e0J8cM3X96OHc8eiU3wXFUOvPD6Gdz95Gzgyuffcx5ufOcqBKfDsW8K7v7AhVnVN/lbsuZ6F145NYoNd/0ytv0v/nE3ljfV4MipiYTnxGPgU1n5raOnxomHnn8N/3z1OkyEplHjrMSOZw7jn6++wHB9XdtboonnbdG8fj6Py3D91gXG5XvdLkYkExHlgS6ka9nCGtzxyL6UXwl07/2696b9AwHD8b65wYXzfZ6sfwFscfPzQClrcbtw9I2JhCCdGn4OTNDSUA3/mdR91GLynDsrfrlrAvCCiDwH4DkAQwBcAFYB+EPMnnf3N7oHK6UOAzD3e2OJ03071tW2wPCDbvJhnBu721JCNO568iBuePvK2GQuOtmL3v+PP34JN7x9ZSxdc/uWTnT4PKbrrhQwOjmNf3h0X8L2//qhXtz3Zz244Zu7tb/u8TC8s6z61nFFUx0++tZzs/4VUNf2wlCG8bx/cG6T4TfCM2EYrv+utS2GF7WdCcPwRP3zbnpb7MMAL3pKRGT+QtC6kK5Hb3wrPnvlGhw8MYqwAiodwGevXIMOn0e7DaP3Jl18+yXnLDT1CyDPsS5t0zMK9//6FWzsboPIbJDO/b9+BeuWLih01exDAf/445dSvvh44H+YO2R5zpM7pdRdkfPs1gP4AwDdACYA7AfwZ0qp1+a6jXJj9peb5MM4dZdGWLKgBjeuX4XzWhrwhcf2pxym2b64AV/84y7UOSvRUFOR9Qdoo28Fb1rfjm/+5uwvhcGpMKoqBI+l+XWPv9RYz2xb0q3/xD6/8aUNAkEcPZP6jbAuGnsocvhO/K/Kd157Ad4YNxe9zXZCROUol0vl+DXBWqcnQnCII2E8/tI1FwCAqW0cNxncla9z4sje3tBcduv0OA/LjBrQnJblHw6a+hXMkrRMpdSMUuqnSqm/V0p9XCn1KaXUVzmxy130265LVy7Cyub6tIOe7jIDybePvDGBe546hJcGR1I6k6vKgZf8I/jrh/bixu++gI9/8/mso/d1ATBXXbQkofwWtyv2nESAG7/zgiVx/5SembakW79ZcwmDpjqnqWhsXZS2QAzXr6pw8KKnREQRuVwqp7rSYfwZQQGf+X5iWZ/5fvqLmBvRX0JHf7id2fclKn511VWGQTq1TiuzHYubz1Nj6rJTOlZeCoEKJDkO+JE9x1Li5j99xWrUV1fgxvWrUF9dgU9fsVp76QQgNXo//rp7h4dGMT0djt1+9dRYxgCY5EMurIz7p/yLBrMkX9ogOD1t+DpOzcyYitJ+YyxkGP87HAyxnRARRaR770x+n44GrQWCIdy64TzcdPkq3Lh+FW6+fBVu3XAehkaNj5jQXUJHN+52tXoML4XQ3Wr+1A4qXUMjk2isdeIT75xthzeuX4XGWieGRiYLXTXb6PC5DS8XZfY0KU6XS4DRIQ7LGmtx0bLZSyNUVTjQfywQO443GqDy7b+4BFMz4ZRLJwCJYSe6wJboeX03X77KVAAMYG3cP+Wf22UczPJ37+swfB2b6qpxZmIq4aRgZ6VoL83Q4q7GFx4zOrH/IrYTIqII3Xtnc70+lGpxgwuHTowlHH55y7tWoy3yK0FyWT6T789OZwW2dLdi5aK62Dl63a0eOHlxaorTqgla85n8VaqUVVY6sGVdG9oX18MfCMLrcaHD50GlLuJcV06e6ldyzJ7APNfyku9f1liL106Pa9dPPml5ejqMkeAUzoxPYVF9dcIJmtEAlQduuBShaaC+evbSCdHDJJPDTpIPpUsObHlw91HcfHl7QodNFwAD8ITqTKxsb1aUVeEAruzw4XM/2JPw4cBZJfj8e87DybFQLCClqc6JkeBUwmG3wOyHgx998m2Gr3uHz5Nw+Y5KB/B3G89Hh8+tbSdW90kiIrvTvXdWOPShVK7KCtz50wMJ99350wN48IZL8fn3nJfyxe+CuirD4Kt0467TWYGeFbxeGaUhxkFr3/0flxS4YvbicAgaXFUYD82gwVWV0+cayyZ3IlIN4I8BrIgvVylV9Nesy+UE5rmUZ3T/9i2d+PJTB3Hk1ETG7U9Ph7Fzz7HYBOymy1cZHmLx5EsnYumZd157AR6/+W3wD6eGnSQ/PjmwZSAQxI5nj+AbH7kYCiqrk6N5QrWele3NqrKGRidRXeFI+CWuusKBweEgJqbCCd8If/qK1TgxYny4z4mRoOHrDsAwaEXXTgBzJ/wTEZUC3Zj421dOaUOpov9Pvu/E6CQW1FYljOsLaqswMTVtOB6HwwpP7B/kuEs5Oak5DPjkKANVoqz6zGblOXcPA9gMYBrAWNxf0cvlBOa5lGd0/207+7Cxuy2r7fcPBBJ+WQsr44CVmUgfi5YXVjAMO9E9Pt7p8RCaG6pNnRzNE6qNWdnerCrLWeHAPz3+Eu5+8hDueeoQ7n7yEP7p8ZdQ56yKXWwzWv6//ewA3DVV2oAUo9c9XT3Nrk9UaG1Ll0FEcv5rW7qs0E+BbMxoTEwXYqULXXO7qvC5h/YmjOufe2gvhidmDMdXs0ErRPE8NU7DduipqSpQjezHqs82Vh6WuUQptcHC8mwj3QnMuVyHzKi86Emlg8NBOETQWOtMuVSBxM190m0/+WToh547ipvWt6fEz37zN0ey2n7y4x/Zcwz/cnV37No4FQJctHwBlOI166yQrr2ZveabVWWNh2YMyzk9bhx4cmZiyrDNjQRDhof1mO1jVvdJIisdP/o6rvvqMzk//oGPX2ZhbajUGI2hoZkZ3LrhPJwaP3uI/MJaJ6ZmwljRVIcvXXNBLBkzesmD0+NTml/7zAetcNylTE6PT+GzV67Bvz7xcqwdfvbKNTg9PlXoqtmGVZ9trJzcPSMiXUqpvRaWaQtWh38kl+eLnGT65//53wknme549ux14lxVDih1tox02/clnSQ9EAjigd2v4VsfuwTT4dQAlUzbjz7+gRsuxcTUDLxuF/qPjyQcsrF9Sye2Ptyf1WGjlJ6uvXnd+hPmdfs5l5PvjcrSldPiNj4hv6nWiS/sfs0gIOVCw+2e72sw1ccYyENE5Uh32FZHawNemAmnhKYsqq9GOKwQVuGEwy/DKoyFtbpx3Tj4KvmzRXQ5x13KhtddjfHQdEI7bKp3wuuuLnTVbMOqzzZzPixTRPaKSC+AtwJ4XkReFpHeuOVFL/lSA3MN/0gu75qeJYYnmV7TsyS2ve1bOvFo77Gstm8UpfrJ9e24YMkCXLpyEbraFuDvNp4fi0X+2/etxfd+91rK9v/2vWtjscl/t/F8dLXNPj5scG0cM4eNUnq69jYTNj5hPt1+1pWlO/leV5aunA6fG/d86MKEiO17PnQhmuqd+MCbl+H+Xx3GPU8dwv2/OowPvHkZKh1iuN2ZMEz1Mav7JBFRMdAdtnVmbArf/u0RfOytK3Hj+lX4i7etxLd/ewQz4dlTNf7qB70Jh1/+1Q960eCqwLZNSZcw2NSJTm+DdrznuEu5mpoJ43//7EDslKCwAv73zw5gaiac/oFlxKrPNlb8crfRgjJszerwj+TydIe8Xbh0Ab53wyUplzbItP1solSTT5aOHqYZ/TUvOBXGgRMjuOeps4ErUbqfjbM9bJTSM3vCfLr9bFVZunLCYYUz41Mpv+IOjU5ix7NHEn652/HsEZyzqM5wu0OjxkErujbOQB4iKke6999T45O4rmdZyqHwb4xP4tSo8eHzR05N4P2dXqxYVIvB4Um0uKvR5XWjpqZKO75y3KVcnRqbMm6jYzwsM8qqPjbnyZ1S6ggAiMg3lVJ/Fn+fiHwTwJ8ZPrDIJF9qwMryDg+NGv4Mu7ypLmF7ZrZfWenAuqWNWLc09T6jb/7ufuogPvbWlbj36UOx7ScHrpx309uwsrle+7NxtoeNUmZG7S3Xn+utKsuonL3HziSE90R/xf3Wxy7B6fFQrD1Fy/d59Ns128es7pNERHanG7sbqqtiH5qBs+/r3/rYJdrDKb0eF2pqqnDxOU0p29GNrxx3KVeNtcZtdMdHLy5wzezFij5mZVpmR/wNEakA8CYLyy9ZRj/D3vOhC2MBJYeHRhEKzWDP66fxeN8A9rx+BtPTid/ChcMKh4dGY+uHw8poUwD03/xVRFpD9NuUHz5/NOH+EyNBbX3NHDZKubHyUMR0ZZlpS7oT7N8YCxkertnh8/CwHiKiHK1oqjMcW89owlHeGAsZnqqxfUsnOnweU+M90VwEJozb6PAEf7mz2px/uRORWwF8HkCNiAxHFwMIAbhvruWXg+SfYb1uF/YNjOB9X569zlzPcg+uffNybH24L+HQty3r2lBZ6TB9XQzdN3+Xn7cYl53blBK4Er0/+quO0c/GZg4bpdxYeUiMVdePa12g+UbYXY0DJ0ZTDtcEwMN6iIjmwOgadEsbdb/OVWtP1XA4hNcLpXnj1R0xxEAVy1lxWOY/AfgnEfknpdStFtSpLCUfphl/2OT1l63El554KXb+EgB8+amDWNFUh6mZMGqdlfji4/tTTrCOHkaZLPqrTfKA3tW2IHYR9b/esDbl/vhfV4x+NuahGvln5SExRmUlt734tmR06YSG6krcfHl7LBAomrSqFAwP12xfXI91SxvZVoiIIowubaCbXOkCVb73Py7F599zHk6Onb0UQlOdEw7MlmN0qka68Z7jM1lteiZs2EZnZvhrsdWsvBTC90XkoqRlAQBHlFLTFm6n5CUfNqnCYcOTUI+fGcdN39ujDUQxG44RfTPhSdPlS3uy/tgkXvKPpEz4mxuchsEpyxbWaq+fREREs8weeaO9DtboJCamEi+F8OkrVuPEaDCljIxlMQyN8uDEaMiwjQ6NhgpdtZJj5Tl3/wfAbzB7KOa/R/7/fQAvi8iV6R4oIhUi8oKIPGphfYpWrbMydmw8ACyocxqehOqpdSbcvuqiJbHHZBuOcenKRVjZXJ/yJpLpfipNyW0PmG1LAuNLGDgrHLHglHueOoR7nz6E0+MhLG6oNixnYZ1z3p4LEZHd6X6J012WJnpaRTxXlQMLaqrwbz87kFDOv/3sABqqq7Tb1pXFMDTKh8Za4za6oFbfRik3Vk7ujgO4UCnVo5R6E4ALABwG8C4A/5zhsTcD2G9hXYrO9HQ4FpgyOTONT1+xOjbovjwwYnyi9GgIN66fPam6sdaZEIiSHMgyPR3mSdNFRHeSey4nv5spKzQzg5vWtyeceD8bVTxp2AbHQzOGASmVFWJYjgLbHRFRVLpfz4zowrB0YRVnxvVhFbxeKM2nN8aML8lxeoy/3FnNysMyVyul+qM3lFL7ROQ8pdRhEf2vPiKyBMD7AHwBwC0W1qdoTE+HsXPPsdg5Sq4qBz7/nvNw4ztXITgdhk8TWvHKqbHYdehuvrwdb2tfhMvObUoJZFneVINPrm9PKJ8nTduX7jCdK9e24In9g6ZOfjdb1vm+Bjyw+7WEwywf2P0avvzBi7SXMLjknKaUQ3hfPTVmWM6GTu987UYiIttb3GAcMtFcr//1zFkpuOHtKxFWgENmby+u111mRh9WwVMwaD61uKuN23qaNkq5sfKXu34R+b8i8oeRv/8DYJ+IVANIl3P6vwF8DkBJXaLezC8s/QOBlPCJf/zxSwjNhHHPU4fwr0+8lBJjfPPl7fj+7qOx9e968iBqqipx6cpFCCskHOaxsbstpfx0h31QYekO0+kfCJg6fCeXsmbCwN9tPD/2K3ClY/Z2NDgluQ1WOIwP4V3RVIe/3rAW9//qMO556hDu/9Vh/PWGtfxGmIgoToUD2rHV6HPEq6fGcON3XsDdT84eCn/3k4dw43dewEw4bFhOJE9F+5mEp2DQvFHGbZ0tznpW/nL3YQD/C8CnIrd/DeCzmJ3YvdPoASKyEcAJpdRzIvIOXcEicgOAGwBg2bJlVtU3b8yeIK27VtiSBTW4cf0qOARobnDiR598G4ZGgxAIPvXAiwmXKogexnHu4vqUwzxEwJOm88zKNqo7TEfXTtK9jrmUdWZ8KuUSBifHJg2DUy5ctgArFpkP7aH5V2zjKJWXcm2fA4Gg4dj65hWN2DeQGmK1oKbKcOw+piln2cJadLUt4CUPLFCubdQqR88Yt9GlC2txYaErV2Ism9wppSYAfCnyl2xU87A/ALBJRN4LwAXALSLfUkr9aVLZ9yFyzbyenh7bn7Sj+7VEFy/s8xgfdnnkjQnc+/Sh2O3HbnobLl25CHteP4PT44nHKLuqHKh1VgDQX8fO6JA6soaVbVT3+vk8usNuXNoo7WhASuohP8aHR1RVOAwvYfCtj10SC05J3raOlZdtoLkrtnGUyku5ts8Wt8twbK2qcOCLj+9PuATSFx/fjzuvuUB7+KVROS1ul+nPJGSsXNuoVVrcxm003aHDlBvLDssUkT8QkZ+KyAERORz9S/cYpdStSqklSqkVAD4A4KnkiV0xMnuC9NqWBmzbnHjY5e0bO/DLAycMH68LvZiamd1m8knSj+w5lnJYJ0+ati/dSe4dPo/h8mWNtXi834/33v1LfPDff4v33v1LPN7vTxuQUuGAYVnDQeMTnt8YC/HEeyIii+nG+9DM7CWQooe2/8cvD+O6nmUYmQwZjulVFZLyOWLb5k50t3pMfyYhyofg9DRu39iR8ll3cppXS7OalYdl3g/g0wCeAzBjYblFR/fLi+5XjqOBCdz79MGEn6q/8otD2Njdht5jwymPb6qrThtWYXRI3LLGWly0rJGHyBWBdIc0Gi1P961surbSvaQxpay9xwKGbbfFXY2utgU8zJKIyEK6cX3vsTOGl0D69scu0Y7pW7o9WLmoLnYER3erB05nhenPJET5UFNZiYeeP4h/vnodJkLTqHFWYsczs+fjk7WsnNwFlFI/zvXBSqmfA/i5ZbUpoOg3ccnHt+t+5RgcDiI0ffYXfhEgNK0SLm0Q//hoWEW68o0OieMhcsVDd0ij0fLB4SAaa5246qIlscN3HnruKE6MBHHxiiZtWzEqq8PnxvYtnQnJqtu3dKLD5+FhlkREeaTiDvQbD80Y/toWhko7pvesWJhSrtnPJET5oAC863wfPveDPQkXMWeiivWsnNw9LSL/AuCHACajC5VSz1u4jaJgNkzC53Hh+rcsx11PHow1+PhLGyQ/nmEVFE/Xfrxul+m2UlnpwJZ1bWhfXA9/IAivx4UOnweVlVYG6xIREaAPYDvf12D4a1tTXTXetGyhqfd/fmYgO1jcUI2aKkfCZTxqIhkAZC0rJ3eXRP7tiVumAKy3cBtFw8yvHDNhxD6YA2cvbfAH5zYlfJOXa/lU2nTt58rzzx6ma6atVFY6sG5pI9YtzW77ujAXIiJKT3dY/Y8++Tbtr226MT3dWMzPDFRoM2HgH3/8UsoXFn+wqrmAtSpNVqZlGl7ugDI7MWJ8svPPXjqBu588xNhiSkvXfoZGZy+NkU9mL/tBRERn6cJOhkaDpn5t41hMdqf7rBK9jBdZx8q0zBYRuV9Efhy5fb6IfMyq8ktZ9GTneK4qByLhl7zoOKWlaz/zcbK87ltntlUioszSjd9mLjDOsZjsLnpppnjxl/Ei61h5Is3XAfwEQGvk9gGcvaB5yQmHFQ4PjeLZ35/E4aFRhMO5X/LEKAr5pvXt+OHzR2PrNNY6MTQyacn2aP5Z2V6S6aK0M50sb0WdGLFNRJS7FU11+NI1ieP3l64xH3bCsZjsLjQzg09fsTqhrX/6itWxy3iRdaw8526RUupBEbkVAJRS0yJSkpdEsPrwh+STnWuqKnDT917AQGB2UI4GZvz5f/43D7coQvk+XCaXk+WtqhMjtomIchcOK4RVOCFkIqzCCIcVx2IqKYvqjANVmuoYqGI1Kyd3YyLShNkQFYjIpQACFpZvG+muK5brycrxJzuHw4lRx9f0LEkJzJjr9mj+5KO9JDN7srxVdWLENhFR7voHAvirH/SmTMqWLazFuqWNWZfDsZjsbiQ4ZRio8uDSBYWrVImycnJ3C4BdAM4VkV8DaAZwtYXl20a6wx+s+LCe/EuM7no3Vm2P8ivf7aWQdWLENhFR7gYCxmOxPxDMOrEY4FhM9ndc09YHAkF0m2jrlJmVaZnPi8gfAliD2UsSvqyUmrKqfDuZj8Mf4n+JOTw0ysMtipgdD5exsk6M2CYiyo3PU2M4Fns9HIuptFjZ1im9OU/uROQqzV2rRQRKqR/OdRt2EH/9GJ/HhXs+dCF6jwYQVkCFAF1LPHk7/IGHWxQ3K18/3XWMzF5rjm2KiKjwOnxu/MvV3Th4YjT2eWLV4np0+DyFrhqRpdjW548Vv9y9P819CkDRT+6SwyeWN9Xgk+vbcd8vDid8MM4XHm5R3Kx6/XQhKFeubcET+wdNhaOwTRER2UNoRiV8nvjCH3UVukpEecG2Pj/mPLlTSn3EiorYWXL4xMbuNty2s29eA054uEVxs+L104WgPHDDpTmFo7BNEREVVv9AAH/7X3sTxu+//a+9WNVcZypQhcju2Nbnj5XXuStZyeETIuD1ZGje6UJQdCfksz0SFSlHJUQk57+2pcsK/QwoS+kCVYhKCdv6/LEyLbNk6cIn7BSQQaVP1w59HvsFthDRHISncd1Xn8n54Q98/DILK0P5xJAJKhds6/OHv9xlIRo+4aqa3V2P7DmG7Vs6Y7cZRkHzIbkdRttdh89juJztkYjI3jp87pTPE9u3dDJkgkoO2/r8yWdaJgBkTMsUEReAXwCojtTnB0qp2+daLysZhU8sa6zFRcsaGUZB8yZdCArDUYiIik9lpQNb1rWhfXE9/IEgvB4XOnweVFbyu3cqLWzr88cOaZmTANYrpUZFpArAr0Tkx0qp31hQN8sYhU/E3w6HFQ4PjWYdRU+UC10ISrpwFLOXSSAiovlTWenAuqWNKRct59hNpcbhEDS4qjAemkGDq4rtOU8KnpaplFIARiM3qyJ/aq71mk+6iPp0UfRE84Ftk4io+HDsplLDNj1/LP0tVETeJyKfE5Gt0b8sH1chIi8COAHgp0qp31pZr3zTRdS/emqswDWjcse2SVSGmLZZ9Dh2U6lhm54/lqVlishXANQCeCeA/wBwNYD/zuaxSqkZABeIyAIA/yUinUqpvriybwBwAwAsW2a/Nx1dRP2JkSCvIVYm7NpG2TYpyq5tlPKgCNM22T4Tcey2H7bRuWGbnj9W/nJ3mVLqegCnlVJ3AHgLgNVmClBKnQHwNIANScvvU0r1KKV6mpubraqvZaIR9fEYRV9e7NpG2TYpyq5tlAhg+0zGsdt+2Ebnhm16/lg5uZuI/DsuIq0ApgD4Mj1IRJojv9hBRGoAvAvASxbWK+90EfWMoqdCY9skIio+HLup1LBNzx8rL2L+aGSS9i8AnsdsKMp/ZPE4H4BviEgFZiebDyqlHrWwXnnHKHqyK7ZNIqLiw7GbSg3b9PyxcnL3z0qpSQAPicijAFwAgpkepJTqBXChhfUoiHRR9ESFxLZJRFR8OHZTqWGbnh9WHpb5bPQ/SqlJpVQgfhkREVExaFu6bE5pk0RERIUy51/uRMQLoA1AjYhcCCD6zubGbHomERFR0Th+9PWiS5skIiICrDks890APgxgCYA745YPA/i8BeUTERERERFRBnOe3CmlvoHZQJQ/Vko9ZEGdiIiIiIiIyCQrz7n7tYjcLyI/BgAROV9EPmZh+URERERERKRh5eTuPwH8BEBr5PYBAJ+ysHwiIiIiIiLSsHJyt0gp9SCAMAAopaYBzFhYPhEREREREWlYObkbE5EmzF68HCJyKYCAheUTERERERGRhpUXMb8FwC4A54rIrwE0A7jawvKJiIiIiIhIw7LJnVLqeRH5QwBrMHutu5eVUlNWlU9ERERERER6lk3uRMQF4H8BeCtmD838pYh8RSkVtGobREREREREZMzKwzJ3ABgB8OXI7Q8B+CaAayzcBhERERERERmwcnLXqZQ6P+720yKyz8LyiYiIiIiISMPKtMznIwmZAAARuQTAbgvLJyIiIiIiIg0rf7l7E4BnROS1yO1lAF4Wkb0AlFKq28JtERERERERURwrJ3cbLCyLiIiIiIiITLDyUghHcnmciCzFbBhLC2ZTNu9TSt1lVb2IiIiIiIjKgZW/3OVqGsBnItfJawDwnIj8VCnFMBYiIiIiIqIsWRmokhOl1IBS6vnI/0cA7AfQVthaERERERERFRc7/HIXIyIrAFwI4LdJy28AcAMALFu2bF7qEg4rvHpqDIPDQbS4XVjRVAeHQyxbn0pLIdpouct3nyu1Ps02SnY2l/bJ92uaD5na6PR0GP0DAQwEgvB5atDhc6OysuC/oVAZss3kTkTqATwE4FNKqeH4+5RS9wG4DwB6enpUvusSDis83u/HLQ++iOBUGK4qB+689gJs6PAavgGYXZ9Kz3y30XKX7z5Xin2abZTsLNf2yfdrmi/p2uj0dBg79xzDbTv7Yu1q+5ZObFnXxgkezTtbtDgRqcLsxO7bSqkfFro+r54aiw38ABCcCuOWB1/Eq6fGLFmfiOYm332OfZqoOPD9muygfyAQm9gBs+3qtp196B8IFLhmVI4KPrkTEQFwP4D9Sqk7C10fABgcDsY6aFRwKowTI0FL1ieiucl3n2OfJioOfL8mOxgIGLcrf4DtiuZfwSd3AP4AwJ8BWC8iL0b+3lvICrW4XXBVJe4aV5UDixtclqxPRHOT7z7HPk1UHPh+TXbg89QYtiuvh+2K5l/BJ3dKqV8ppUQp1a2UuiDy91gh67SiqQ53XntBrKNGj8lf0VRnyfrA7PHZe14/jcf7BrDn9TOYng5r1wVmzxM4PDSKZ39/EoeHRhEO85QZKg9GbT+XPmdGuvLZF4nsw2xfZd+mfOjwufEPmzsT2tU/bO5Eh89T4JpRObJNoIqdOByCDR1enHfT23BiJIjFDZnTtJyVghvevhJhBThk9raO2RNveQI4lStd279ybYupPpcLo/LDYYUn9g+yLxLZiJm+qhs72LdpLqanw3C7KvGvV6/DWGgadc5KVFUIpqfDDFSheccWF5H8jd30dBgjwSmcGZ/CSHA65Ru8UGgGu199A4/2HsdzR97AE33HMRP58S2sgH94dJ/2BG2zJ97yBHAqRrpvwc0s17X9/oEA/uHRfYZ9zopv3189NWZYfv9AgH2RyEZePTWGJ/qO49KVTVi9uB5vWdmEJ/qOa/uqbuxI17f5ix5lsncggJeOn0ZzQzVqnRVY7K7GS8dPYy8DVagA+MsdUn8dWN5Ug0+8sx1bHzb+ZS0UmsHO3uOx+5c31eAT71iFrbv6Y+vftL4db4xNYmVzfcr20p14u25pav3SnQBuVD5RoaX7xU33bbrR8uYGp2HbPzU2iet6luHupw4m9LnARAiP94/M+dt3XfmnxibZF4lsZGJqGj0rFuGjX/9drK9u29SBqZlpU2OHrm+/MTaJl/xzH1OotDkrAV9jPf78P/87oR06+SmbCoC/3CH1l7GN3W2xiRuQ+sta7/FAwv0bu9tiE7vo+nc/dRBVFca71+yJtzwBnIpNul/czCx3VjgM235DdVXsw1l0/bufOojpGWXJL2vOCodh+W6Xk32RyEbGJmdS3n+37upHWBmPHW6X01Tfrqpw8Nd6ymhyGobtcHK6wBWjslS23ylED/kaHA5iYmom4Rs7EaR8g9dY60RgYgqP9w1AKWRcPzgVxonhSTzeNwCfpwZrWxpwNDCBweEgFtdX464PXID+48MIK6BCgFWL67Un3kZPAE/+5tCq8Agiq+l+bR4IBNFY68RVFy2BRL70fui5o9pfs8dDM4Zt/8z4FFYvrsdfvP1cTExOo7a6Ev/+i9/jxIj5X9ZCoRn0Hg/APxyEz+1CV6sH46EZw3KmZsI59cX48abFnfkc3nyXQ1SMpqfD6B8IYCAQhM9Tgw6fG4PDk4ZjyuDwJO750IXoPRqIvc92LfEgNB02XF/Xt3VjAX+tp3jp2iHRfCvLyV3yIWM3X74KripHwgAef9vnceH6tyzHDd98Lqv1o7cPDY3ii4+/bHiY57bNnXj4xWM4cmoidthnOvkOjyCyUvTX5uQ+saSxBte/ZTnuevLsIVE3X96OJQtqDNdvcbtwyTlNKeFGLw8G8MFLluNzP9gTK+f293egbYHxdpvrjX9ZSz7EOto337RsgWE5ixuM65NugmVVIBKDlaic6YLIVrfUG44pyxprcCwQxH2/OJzQX85pqjZcv6Wh2rBvv3pqTDsWEEUtbXQZtqulC9hOaP6V7OQu3Tfcr54aw9d+9Xv889XrMDE5DU9tFW5731ps/9F+BKfCeGTPMfzz1d04dGIUYQWc523A1399GB9760qIADXOCtz2vrU4MTKJsALqnRX4p6u6cOsP9yZ06iijwzy3PtyHj711Je59+hCCU2F8+amDWNFUh6mZsGF9b/zOCylvLo/d9DZ+c0gFZ9TXVjTV4csfvBB7j5391ryzbfZb8+ibHzDbF+568iAuOWeh4bfs8b+IqbgMg/HJMO54JPEQmDse6cd3/+IS3Hx5e8obbIXD+Fv/5EOso33zWx/Tl+NwCFY212fd93SHqJ5309tiHx6z+SUuXTkcB6jU9Q8E8OWnDsbehwHgy08dxL9evQ7f+91rCcu/97vX8Obljfji4/sTln/x8f340jUXGI5BF5+zECsN+jaPnKFsTIdh3A5XLCxsxagsleTkLtM33IGJEP74omUJ3/r//fs78N2/uASTM2G0NLjw/OtnEr7xu31jB77yi0M4cmoCy5tq8Jd/uCrh/s9euQY3X96OsdAMlAJ2PHsEf/ymJQD0h21GBwCfx4XrepbhT+//rWF9GahCdqXra+vbm3FmfCqhj/zD5k5tXzg1FsLUjEr5ll0XT15VIYblHAsEsePZI7E32GhffNPyRuw+cjrlW/9aZ4X28FGjci5ctgArFpnrc7r+azaogeMAlbPT48ZBKGcmpoyXB42XnxoLGfYjfyBouN1cLo1E5efMREgb8kU030oyUCXTpQNmwsAdjyZ+6//3j/RjRgGXrlyE4eAU/va/9ib+KvBoPzZ2twGY/SXu75N+NfjXJ17G6OQM7nnqEO59+hBOj4cSfmkwOlE7ev9VFy1JOcE7vr4MVCG70vW1vQMB/F3SL2J/93Af3K4qw7a8oKbKVNCKp8a4nMUN1Tg9HsK9Tx9K6IsADC8/sqi+2jjcyG1cTi59Ttd/zQY1FM044KiEiOT817Z02Zw237Z02Zy2L8IP7YV+DY3UOY1DlDw1xsvdLuPljbXGY0eLW9+Por/WX7pyEVY213NiRyl07a3BVVXgmlE5Kslf7gaHgylhCz987nUMjUxicDiIwMSU9hvwZ39/EqfHjb/Zi77n6359iIZjxv/SBwCP7DmG2zd2xCaU0fN67n36IACgwgHDE3Gj38jzsBCKslughu7XJP+wcbDJqdFJbNvcmXKO29S00v6CpvvVK7lP3b6xAxNT09j2/vNRW12Fsclp1LkqMR6cwpAmaGUiNG1Yny6fR9vnzL4Guv5rNqihaMaB8DSu++ozOT/8gY9fNqfNHz/6+py2b0Udil6BX0MjuvdlXd/WLT89HjLs892txoFmRNnQhXkNjTBQheZfSU7uWhe4UsIW7tjUgc89tAdHTk1oA1HCYeCD//5b3POhCw3vj/7SVlPlMLz/snObcG5zPZobqnHnEy9hY3db7JCuh55/DQ/ccCkmpmbQXO/C0TNj2HxBG8Jq9lykmqqKlPN7vJFvEnlYCAH2DNTQBae0eoyXL3a7cLnPg5WL6mKTo+5WD14/PW64fvSyIcnLF9W78B+/3Dd73mxoGjXOSux45jC2buzA8TOT+GxK0IpxOQtqnXjLOYtS6uN0Vhj2OQCmXwNd/zUb1MBxgMpZi9u4Dy9uqDa3PPJr/b9evQ5joWnUOSvRUFOBysqSPJCJ5klLmnZINN9KcjQ7MzaVErZw+66zh1U+uPsobr68PXZoRvQD4H2/+D0A4L7/93vc/v6OhPu3berEo73HAABVDkl5/M2Xt6P39TO4+Xsv4tYf9uLaNy/H/b86jHueOoT7f3UYH33ruehqW4BLVy6CCPDxbz6Pu5+cPeTrgH/E8ATvmbgvgZIPCwGAw0OjePb3J3F4aBThcNwxoFSSMh1uXAjRX5Pi+8Kd116ABbVVhn2ksaYKTmcFelYsxPu6W9GzYiGczgpMTM8Yru+shGH53a0efODi2S9w/vqhvfjcD/bgAxcvR1jBMGhFAGzf0plQzvYtnejweQzrAxgfipXuNQiHlbZPGpWl23fpfonj4WFUrjp8bsM+XF3pSHm/vv39HahxVhiOKSKCj3/zedz43Rfw1w/txY3ffQEf/+bzvG4dzUmNswJ3bEpsh3dsmm2HRPOtJH+5G9AcKhY95DEalnD/n/dgNDiNxlontv9oH3qPDQPA7L+/PYIdH7kYp8dD8HpcWNPcgDXeevgDQTgcgq0P96eELfzD5g589U8vgtfjwtoWN3qWNxp+w558KFtwOmz8c/5oEOcuTj08y46/4FD+2TFQQ/dr0m9fOaUNJFm5uCGlnONnJgzXP7e5Xvtr1ZZ1bWhfPNsnvR4XOnwe/OylQc1hokHD9c1+W697DQaHg6bCUdLtO/ZholSVlQ7DPvzjfj+++9sjCb/i/8cvfo/6t59rOKYsXVhru3GUit8rJ8fx+N4BfPXP3oQz41NYUFuFr//qFdQ6K9HZtqDQ1aMyU5KTO92hXPEBJ6fHQ/B5arByVT0OD43iwInRhDIOnBjFooZqXLyyKbZs3dJGrFsK7Hn9TCxsIb785oZqrFvaGFumi0vXHcqW7eFZjEQvT7p2U+hADaNLA7S4XYZ9RFfXprpqw/UX1jm1lx6orHTE+mSUru97PS7D9c3SvQa1zgp85Ou/M90nzV5WgaicGfXhFnc1DpwYxU3ffSG2bDYgxXhM8dp0HKXi1uKuxrOvvIGnD5yMLXNVOfCX71xVwFpRuSqJwzKTD4da29KQcvjGts1nD6tMPvzJ7OFRoZkZ3LQ+8XCPm9a3Y2ombLh+suTtPbLnWEp9020/3S84VLpyOYyvUMzWNQxl2KcUzB1urDt0q8NnTViC7nmFZox/fWefJLKO0aHPYTVjeDics0IZjgXdrZ6iGUepeFRXKmzblHw6TweqS/InFLK7gjc7EfkagI0ATiilOs0+XneI4qau1oTDN9IdJmn28Kimumo8sPu1hMM9Htj9GjZ0erOqs9H2ljXW4qJlxvVLZtdfcCi/iu0wPmel4Ia3r0RYAQ6Zva0z1z4VpTt0y6qwBKvCUYjIHN17fduCGjy5/5WEw+G+/ZtXcJ53tXYsKKZxlIpFJQ74z+DrH7kYQyNBNDe48LP+Y1jTknoaAlG+FXxyB+DrAO4BsCOXB+sOUXzsprelHL4Rf/hT9BvA+DjzbA+PWtFUh7/esHZOkeRGh2OZ2X5RRKKT5YrlML5XT43hxu+8kDLZeUxzmKIVfSpKd/ilVZeRMHoN2CeJ8kv3Xv+TT70NV3a04uPffC7W96K/1uvGgmIZR6l4LKitRLt3AT78n/+dkNK+oI7XuaP5V/DJnVLqFyKyItfH5xIyMddAkkL/glLo7RNlYrZf5rtN5zuEiH2SKL90Y8rQyCQW1FYlHCWwoLaKfY/m1YmRSYSmwwntMDQ92z6XN/FLBJpfBZ/czVUuhyhaEUhS6G/+Cr19onRy6Zf5bNPzEULEPkmUP7oxparCYeooAaJ8cFY48IXH9qe0wwduuLSAtaJyVRSBKiJyg4jsFpHdQ0NDCfflEjLBQBKyWro2Wo7sFv7CPs82SvaWqX3qxpTx0EzZ922aH+naqK4djodm5rOKRACK5Jc7pdR9AO4DgJ6enoT4vFwOh2IgCVktXRstR3Y7TJF9nm2U7C1T+2SYERVaujaqe49pcbMd0vwril/uMokeDnXpykVY2Vyf8QOk3X5VICpFZvtlPrHPExU/ozGFfZvsgO2Q7KTgv9yJyHcBvAPAIhE5CuB2pdT9+dym3X5VIKL8Yp8nKk3s22QHbIdkJwWf3CmlPliI7TL8gKi8sM8TlSb2bbIDtkOyi5I4LJOIiIiIiKjccXJHRERERERUAkSp4gpNE5EhAEcKXY84iwCcLHQl0rB7/QD71zG+fieVUhvSrZyhjdr9ueZDuT3nQj/fubbR+VDofWQFPofcpW2jce2zFPaxGeX2fAF7PudSfJ+3W53sVh/AfnVKV5/0Y2ixTe7sRkR2K6V6Cl0PHbvXD7B/Ha2sn92faz6U23Mut+ebi1LYR3wO+Wf3+lmt3J4vUJrP2Y7PyW51slt9APvVaS714WGZREREREREJYCTOyIiIiIiohLAyd3c3VfoCmRg9/oB9q+jlfWz+3PNh3J7zuX2fHNRCvuIzyH/7F4/q5Xb8wVK8znb8TnZrU52qw9gvzrlXB+ec0dERERERFQC+MsdERERERFRCeDkjoiIiIiIqARwckdERERERFQCOLkjIiIiIiIqAZzcERERERERlQBO7oiIiIiIiEpA0U3uNmzYoADwj3+F+suIbZR/Bf7LiG2UfwX+S4vtk38F/suIbZR/Bf5Lq+gmdydPnix0FYjSYhslu2MbJTtj+yS7YxslOyu6yR0RERERERGlytvkTkSWisjTIrJPRPpF5GaDdd4hIgEReTHytzVf9SEiIiIiIipllXksexrAZ5RSz4tIA4DnROSnSql9Sev9Uim1MY/1oCyEwwqvnhrD4HAQLW4XVjTVweGQeXv8fJVJxWd6Ooz+gQAGAkH4PDXo8LlRWWn+eym2Jyon6dp7/H0+jwszYeDECPsFEVGhhUIz6D0egH84CJ/bha5WD5zOClNl5G1yp5QaADAQ+f+IiOwH0AYgeXJHBRYOKzze78ctD76I4FQYrioH7rz2Amzo8Gb1Jj/Xx89XmVR8pqfD2LnnGG7b2RdrB9u3dGLLujZTEzy2Jyon6do7gNh9jbVOXP+W5bjryYPsF0REBRYKzWBn73FsffjsZ55tmzuxpbvV1ARvXs65E5EVAC4E8FuDu98iIntE5Mci0jEf9aFEr54ai30IAIDgVBi3PPgiXj01Ni+Pn68yqfj0DwRiEztgth3ctrMP/QMBU+WwPVE5Sdfe4++76qIlsYld8npERDS/eo8HYhM7YHZM3vpwH3qPm/vMk/fJnYjUA3gIwKeUUsNJdz8PYLlSah2ALwPYqSnjBhHZLSK7h4aG8lrfcjQ4HIw1pKjgVBgnRoLz8vj5KjOf2EbzYyBg3A78AXPtoNjaUz6wjZaPdO09/j4R2KZfsH2S3bGNUr75NWP34LC5MTmvkzsRqcLsxO7bSqkfJt+vlBpWSo1G/v8YgCoRWWSw3n1KqR6lVE9zc3M+q1yWWtwuuKoSm4KryoHFDa55efx8lZlPbKP54fPUGLYDr8dcOyi29pQPbKPlI117T77PLv2C7ZPsjm2U8s2nGbtb3ObG5HymZQqA+wHsV0rdqVnHG1kPInJxpD6n8lUnMraiqQ53XntBrEFFz7tY0VQ3L4+frzKp+HT43Ni+pTOhHWzf0okOn8dUOWxPVE7Stff4+x567ihuvryd/YKIyAa6Wj3YtjnxM8+2zZ3objX3mUeUynih85yIyFsB/BLAXgDR3xg/D2AZACilviIiNwL4S8wma04AuEUp9Uy6cnt6etTu3bvzUudiYnXy31wTCRMf70KHz5NTomG86HM8MRLE4gbbpLhlrECptlGr2pzZcqJtyx8IwhvXtsyWY9P2lA9l20ZLTa59ZSAQxJLGGrgqK3BybDKlvcf3Ba97Ni1zaHRe+0XaDbB9UoFxDKWCGZ8Ioc8/gsHhSbS4q9HpbUBtjTN5tbRtNJ9pmb/KtHGl1D0A7slXHUqV1cl/4bDCE/sH55SWOZfH6zgcgpXN9VjZXJ9zGWQNq9pcLuVUVjqwbmkj1i2dWzlsT1RMzLZxM8myRn3h3MXsF0REhRQKzeDR/sHiSMska1md/GfHtEyyF6teY7uVQ2RXZtu4VcmyRERUGEWTlknWszr5z45pmWQvVr3GdiuHyK7MtnGrkmWJiKgwiiItk/LD6uQ/O6Zlkr1Y9RrbrRwiuzLbxq1KliUiosKwfVom5Y/VyX92TMske7HqNbZbOUR2ZbaNW5UsS0REhWH7tMx8YULRrLkm/yWnsC1rrMVrp8dj5UVv55LS5vPUYG1LA44GJhIeHw6rOSVyztVcE0EjSiZFK99pk7r9rVseCs2g93gA/uEgfG4Xulo9aU8gtuj1LEUl00bLnVH65dDoJGqdlQirMBwiGA/NpIyx/sBsCuaCuiocP3O2fwNI6fNGy3INwjIxpjAtk+yMYygVTGAiiJf9Y7G0zDXeOnhqUn65K0xaJuXXXJL/0qWwrWyuN53SZpSWuX1LJ7781EEcOTUBV5UDX7rmAoRVGH/1g96MSW75YCZJrhzkO21St783dbXiZy+fSNnu+vZm7OobyDohKl8JrUR2Ed/GG2uduP4ty3HXkwcRnApjeVMN/ufbV+GOR/tT2v+6pY3oapvt39f9+29i99/zoQsRmlYpfcZZKbjxOy/MuR9ZneJMRFRuRieC+EnfELbuivsstKkT7+1sRn3qBE+r/D7VUsYUNrMpbUbr37azDxu722K3P/P9F3HwxGjBktyYJJco32mTuv3dezxguN29A+YSopiWSaUuvo1fddGS2MQOADZ2t8UmdkB2Y3jvUeO+13s0YEk/Yp8kIpqbff6x2MQOiHwW2tWHfX5z4ygnd2UoUwqb2ZQ23foiibfDSUcAz2eSG5PkEuU7bVK7vzXb9Q9PmkqIYlomlbr4Ni6ChPaefBvIPIaHlfFjjMblXPoR+yQR0dwMaj8LTZoqh5O7MpQphc1sSptu/fjTOV1VDiQfmTOfSW5MkkuU77RJ7f7WbNfrrjaVEMW0TCp1yW3cqL0n3043hleI8WOMxuVc+hH7JBHR3LRoPwtVmyqHk7sylCmFzWxKm9H627d04tHeY7HbX7rmArQvri9YkhuT5BLlO21St7+7Wz2G2+3ymUuIYlomlbr4Nv7Qc0dx8+Xtsfb+yJ5juH1jh6kxvGuJcd/rXuKxpB+xTxIRzc353jps25T0WWhTJ873mhtHmZZZpjIlH2aTfhm/fnJ5yembKUluHhc6fJ55DTOJT2P0ul3ozpDGqFEyKVpm0y/Npmvq9rduu9H1o+Vnen3mmhibidnnayMl00bLXXwb97pdmAkDJ0aCqHVWQCkFSUrLBM4mXy5ucKHCMXuIdK2zAqGZMJrrqzETBoZGz/aZ6GNy6UeZUpeZlklFimMoFQzTMiln6ZIPs0m/TE5BMyov+bbDIVi3tBHrlub/+SULh5VhSmM5J7mZSb/MJUE13f422q7TWYGeFQvzUn+zmPxHdmDUxs9dbNzedW3WWSn4yNd/l7Yd59KPMqUuExGROaHQDH7SP5R1crgOD8ukFNmkXxZbChqT3ObGigTVYtrfxV5/Kj+6NmtVGma222MfISLKTe9xc8nhOpzcUYps0y+LKQWNSW5zY1WCarHs72KvP5UfXZu1Kg0z2+2xjxAR5UaXKK5LDtfh5I5SZJt+WUwpaExymxurElSLZX8Xe/2p/OjarFVpmNluj32EiCg3Ps24qksO1+HkjlJkk35ZbCloTHKbGysSVItpfxd7/an86NqsVWmY2W6PfYSIKDddreaSw3WYlkmGEtMyXVjb4sbRwIQ2BU2XmhafNAggbfqg1emEc0hyS6dsU7SS20SmtNNgcBp7BwLwD0/C665Gl88Dl6vS9OtcqNTKfKdx5lHZttFyEt8vosmYp8dDmAkDJ0cn4XO7sKCuCsfPBFHrrMTUzAwaa6tjCZq59qX47fo8rpT0zSzLY1om2RnHUCqYkYkg9selZa711qGBaZk0V0ZpmelS0IxS05LTNe/50IUITStt+qDV6YRMcrNWujZh9PqEQjPY1TeQkvi0qdOHpw4OmUrdLFRqZT7TOInmwqhf3PKu1aiucOCfHn8ptuzmy9ux49kjOD0ewp3XXoAzE1O48Tsv5NyXmCJLRJQ/4xMh/LhvCFt3xX122tSJjZ0tqK1xZl0OD8ukFFYkIyana/YeDaQt0+rkNSa5Wcvs/tQlPu0dSN8O5rpdonJg1C/u/OkBnBoPJSy768mDuOqiJZYlZ7I/EhHlT59/JDaxAyKfnXb1oc8/YqocTu4ohVXJiPHpmmGFtGVanbzGJDdrmd2fusQn//BkWaVuEuWDmWTM6DhsRXIm+yMRUf4Maj4jDQ5PmiqHkztKYVUyYvzpnBWCtGVanbzGJDdrmd2fusQnr7u6rFI3ifLBTDJmdBy2IjmT/ZGIKH9aNJ+RWtzVpsrJ2+RORJaKyNMisk9E+kXkZoN1RETuFpFDItIrIhflqz6UPSuSEZPTNbuWeNKWaXXyGpPcrGV2f+oSn7p86dvBXLdLVA6M+sUt71qNplpnwrKbL2/HD58/allyJvsjEVH+dHobsG1T0menTZ3o9DaYKidvaZki4gPgU0o9LyINAJ4DsEUptS9unfcC+CSA9wK4BMBdSqlL0pVbLglF2aRP5vME9uSkwCWeGuwfHI4kJdagw+dOSEpMXt8omRJA2vRBq9MJdXWaY1pn0aVoWZU2GQrNoPd4AP7hILxuF7pbPXA6K7TrZ0rLTH6ddfUsVGploVI6LVB0bZSM0y8HArNJl6GZGTTXV2MmDJwYSU3/ba6fXf/k6CSqKhwYD83EyvAPZz8Gp6tTcurxiZHZcSC+TvOVltm2dBmOH309m+0Yal2yFMdefy3nx1PJ4xhKBXNmIogDcWmZq711WGCXtEyl1ACAgcj/R0RkP4A2APviVtsMYIeanWH+RkQWiIgv8tiylU36ZL4TyuKTAqenw9i55xhu29mXUJ8t69piEzyjZEGjpMF06YNWpxPGl5cp5a1UU+Csel7T02Hs2ns8bRtI3m66VMzk1zlTPec7tbJU2wPZk1F7i0+6vHXDeZicmQ1NSZf+u2JRah9JXpZtX8qUOLyiqa5gfeT40ddx3VefyfnxD3z8MgtrQ0RkjfGJEJ4olrRMEVkB4EIAv026qw1A/NdvRyPLylo26ZPzmVDWPxCIfaiPr0//QGBetm+FTClvpZoCZ9XzMtsGrEhcLeT+t1t9qLQZtbf4pMtT46HYxC56f77bY7mOmUREhVI0aZkiUg/gIQCfUkoN51jGDSKyW0R2Dw0NWVtBG8omfXI+E8oGAprkw0DxJKRlSnmbawqcXduoVel2ZtuAVYmrhUrhs1t9rGDXNkqZx/xMacPzWad8JRyzfZLdsY1SvhVFWqaIVGF2YvdtpdQPDVY5BmBp3O0lkWUJlFL3KaV6lFI9zc3N+amsjWSTPjmfCWU+T41x8qGneBLSMqW8zTUFzq5t1Kp0O7NtwKrE1UKl8NmtPlawaxulzGN+prTh+axTvhKO2T7J7thGKd/mNS1TRBpFpENEVopIto8RAPcD2K+UulOz2i4A10dSMy8FECj38+2A7NIn5zOhrMPnxvYtnSn16fB55mX7VsiU8laqKXBWPS+zbcCKxNVC7n+71YdKm1F7i0+6XFjrxC3vWj2v7bFcx0wiokLJe1qmiHgAfALABwE4AQwBcAFoAfAbAP9HKfW0tmCRtwL4JYC9AKK/MX4ewDIAUEp9JTIBvAfABgDjAD6ilEobP1QuCUWZ0iczpVfmuj1dOmd0e/5AEF6PCx0+z5y2ZwWzaYaZUhezTGUsuhSt6ekw+gcCWbeV+FRMn9uFrkgqpm65jtmUy0KlYhZLfUwoujZKie2tpcGFkeAU/MNBLKh1Yjg4hea6atRWV+Lk6CRqnRUIzYTRVFdtWaqw0Thq0ZhpZE5pmSIy50CVfCWFU0ngGEoFE5gI4uW4tMw13jp4LEzL/AGAHQDeppQ6k1CiyJsA/JmIrFRK3W/0YKXUrzJtPJKS+Yl065SrdOmT2aRXmmEmnXPdUnt8uM0lzTBT6mIhUhnzLRxWeGL/YNb7KRSawc7e49j6cFxS0+ZObOr0pU2/NGJ2f9pt/9utPlTaou3NKIXypvXt+Ifd+/DJ9e1YUFuFj3z9d5YkVGYaR8txzCQiKpSJiSn8xCAt8/2dXtTUVGVdjnYmoJR6l1Lqm8kTu8h9zymlPqWb2FF+WZ1eabd0zmwwqS07ZvdT7/FAbGIXXX/rw33YOxDg/iaaB0Z99u6nDmJjdxtu29mH3qMBy/ohx1EiIvvY6x82TMvc6zeXR5nt+XPdIrJJRK6K/pmvMlnF6vRKu6VzZqMU0wzzwex+8mvW92sSnLi/iayVbjwOToURTjqacC79kOMoEZF9WJWWmfEi5iLyNQDdAPpx9tw5BcAo/ZLmQTS5ML4BzCW9Mpp6llxeodI5s6Grs53qaAdm95NPs743kuDE/U2UX+nGY1eVA8lHX86lH3IcJSKyjxbNZ618pGVeGol+/XOl1Ecifx81WV+ykNXplXZL58wGk9qyY3Y/dbV6sG1zUlLT5k50+Tzc30TzwKjP3rS+HY/2HsP2LZ3oXuKxrB9yHCUiso8ur9swLbPL6zZVjjYtM7aCyP0AvqSU2pdrZa3EhKJZ0QTEaHrlmuYGvDw0EktEXNvSgKOBCW36ZfLt1gYX+vzD8A8H4XW70NHSgAMnR7Xl6VLTsk2uzEamBM/kBNF5SjMsuhStxLTMzEmnweA09g4E4B+ehNddjS6fBy5XpbYcXRqnrhxdWzGb6klaRddGy1k0hfbESBCL6qsxHprConoXXJUVOD0RAhQwNDqJlobZhNrKSkdKQmU4rGJ9p7m+Gg4H4KlxxiZpyf0tfpnP48JMGBgaPVue0WMsHluZlkl2xjE0T/LxWbHUnJkI4kBcWuZqbx0WWJiWGbUDwLMi4gcwGSlQKaW6c6o1WaKy0oF1SxuxbikM0zO3be7EvU+fTbtMTr9Mvh2//vKmGnzine0JiYm69EyHQ3JKrszETIInk9r0zKZlhsPKMBXzyrUthuVcsWYxdu09npLc+t7zW/Bo36Bh4tPTh05mXU6uCbBExcAonfam9e14YPc+fPbKNXCIA5/5fmrfjU+oNBr/b9/YgYeefw3/8x2rEJpWCf3tng9dmLIs3+M5ERHHlswCE0E8YZCW+e7OZqPLIWhl86npfgB/htlr0b0fwMbIv2QTRumZWx9OTLtMTr9Mvh2//sbutpTExHTpmflIXCvGBE87Mvva6Nbv16Rl9h43Tm7t849oE5/MlJNrAixRMTBKp40mYx48MRqb2EXvM+q7RuP/HY/24/rLVqL3aGq/NVqW7/GciIhjS2Yv+8cMPzu97De3j7KZ3A0ppXYppV5RSh2J/uVQZ8oTXXpmctpltrejqWyZyosmquUjca0YEzztyOxro1tfm9CqWT9d4pOZcnJNgCUqBrp2LwKElfE4nNx3dX1zIjRtWEamcpmgSUT5wLElM6vSMrOZ3L0gIt8RkQ/yUgj2FE3PjGeUdmn2dqbyoolq0cS15PXnkrimK9POCZ52ZPa10a2va2NezfrRxKdsl+vKyTUBlqgY+NKMcxViPA4n911d36xxVhqWkancfIznREQcWzJL99nJjGwmdzWYPdfuSswejhk9NJNswig9c9vmxLTL5PTL5Nvx6z+y51hKYmK69Mx8JK4VY4KnHZl9bXTrd/jchsu7Wz2Gya2d3gZt4pOZcnJNgCUqBkbptNFkzFWL6/GlazL3XaPx//aNHdjxzGF0LUlNuTValu/xnIiIY0tma7x1hp+d1njN7aOMaZl2U6iEIrsn/CSnZ65tceNoYCKWqJacLJl8e4mnBvsHh7N+fPLzN5vImI3oPs+2DvOk6FK0zL42yfs9up91y5PbXrT8iYkp7PUPxxKfurxu1NRUmS6HTCu6NlrKMr13pKZlTqOxxokFdVU4MTIJZ4UD46GZtO878X18UX01Kh2AOyktM76/GS0zSj/O41jLtEyyM46hecJU7MysSMvM5lII3wBws1LqTOR2I2YvjVCQa90VokMx4Se9Mts/RTXoF+q1KbM2YTdF1UZLWS79oEz6Did3ZGccQ/OgTMa2OTGxj9LusGymy93RiR0AKKVOA7gwp1oXKSb8pMf9Y1+Fem3YJohy6wfsO0RUiji2ZWbVPspmcueI/FoHABCRhcju+nglgwk/6XH/2FehXhu2CaLc+gH7DhGVIo5tmVm1j7KZpH0Jsxcx/37k9jUAvmBqK0UumvATv8OZ8HMW9499Feq1YZsgyq0fsO8QUSni2JaZVfso4y93SqkdAK4CMBj5u0op9U1z1S1uTPhJj/vHvgr12rBNEOXWD9h3iKgUcWzLzKp9pA1UEZF6pdRo2gdnsY7VCp2WWeCkxqyZTSSaaxpoPvaPTRNKi+5Ea7OvjVX73apULF19bNo+7KDo2mgpM0qrdTgkbduNtu03xiZRlUVaZjo27ScMVCE74xiaJ8HgNPYOBOAfnoTXXY0unwcuV1md6ZVRlp+d0rbRdHv0YRF5EcDDAJ5TSo0BgIisBPBOANcC+HcAP8j1CRQTh0OwsrkeK5vrC12VjKanw9i55xhu29kXS9vZvqUTW9a1GX64tiLByOr9w1Ql65h5baza7+GwwhP7By0px6g+V65tsaR8onzS9QNnpeDG77ygbbsOh2BFUx1e8o/MqY1zHCUiuwiFZrCrbwBbHz772XTb5k5s6W6F01lR6OrZglWfnbRfoyulLgfwJICPA+gXkWEROQXgWwC8AP5cKVUWE7ti0z8QiE3sgNmTMW/b2Yf+gYDh+nZMMLJjncqBVfs93+X0DwTYPsj2dO2392ggY9u1og9xHCUiu+g9HohN7IDZ8Wjrw33oPW782bQczUtaplLqMaXUnyilViil3EqpJqXUZUqpLyil/LlXn/JpIGCctuMPGKft2DHByI51KgdW7fd8l6Nr42wfZCe69htOOiLQqO1a0Yc4jhKRXfg149HgMMejKKvGbF4WvgT5PDWxkzGjXFUOeD3GaTvRdJ7k9QuZYGTHOpUDq/Z7vsvRtXG2D7ITXftNPrrGqO1a0Yc4jhKRXfg041GLm+NRlFVjdt4mdyLyNRE5ISJ9mvvfISIBEXkx8rc1X3UpNx0+N7Zv6UxI29m+pRMdPo/h+nZMMLJjncqBVfs93+V0+NxsH2R7uvbbvcSTse1a0Yc4jhKRXXS1erBtc+Jn022bO9HdavzZtBzlPS1zrkTk7QBGAexQSnUa3P8OAJ9VSm00U26pJBRlSjAzm3CWvL6vvhp9/mFtIlHy+q0Nrsj6QfjcLnR43Tg+Eozdv6yxFq+dHp9TfXN9TjZLKJ2XFC2rkiYB6/a7rk668nWpWGbL0dXHpu3DDpj0Ns/S9bHxiRD6/CMYHJ5Ei7savgXVODkSwkwYODk6GesDAGL9YkljDVyVFTg9EYJA8MbYJFrcuY0DNu0nTMskO+MYmidnJoI44B+LjYervXVYUMNf7uKFQjPoPR6IfR7vavUYBc7knJZ5tgSRCgAt8esrpV5L9xil1C9EZEU25ZebTAlmZhPOktfvWe7BtW9enpBIFJ+Wmc362zZ34sHfHcHuIwEsb6rBJ9e3J6Rvmq1vLqltxZRQaiWzaafpWLXfdXXa1NWKn718IqX89e3NhqlY7+/w4kf7/FmXE62nUTso1/ZB9pKuj01OTuPRvkFs3XW2vf/zH3fhzPgU/vHHL8WWfemaCxBWYfzVD3rRWOvE9W9Zju/97jVc17MMdz91cG6paewnRGQDwxNBPNE3lDAebtvUiQ2dzXBzggdg9rPWrr3H5/z5L+OaIvJJzF68/KcAfhT5ezTXiid5i4jsEZEfi0iHRWXaXqY0HLNpOcnrX3/ZypREovi0zGzW3/pwH66/bCUAYGN3W0r6ptn6MrUte2bTTtOxar/r6tR73Di1cu+AcSrWXv+wqXLYPsju0vWxvf7h2AeZ6H2HhsZiE7voss98/0UcPDGK4FQYV120BHc9eRAbu9tiE7vkcomIis1L/rGU8XDrrj685OeYFmXV579spoE3A1ijlOpQSnVF/rrNVznF8wCWK6XWAfgygJ26FUXkBhHZLSK7h4aGLNh0YWVKwzGblpO8/sTkdNq0zGzXnwhNAwBEMOf6lnpqm5Vt1GzaaTpW7XdtnTTl+4cnNalYxst15ZRK+7CDUhtH7SJdHzNq72FlPJ5GEzSj422mcbfUsH2S3bGNzo3u/X9weLJANbIfqz7/ZTO5ex2A5RehUEoNK6VGI/9/DECViCzSrHufUqpHKdXT3NxsdVXmXaY0HLNpOcnr11ZXpk3LzHb9Gmdlwu251LfUU9usbKNm007TsWq/a+ukKd/rrtakYhkv15VTKu3DDkptHLWLdH3MqL1XiPF4Gn+kZfzJ9EblliK2T7I7ttG50b3/t7irC1Qj+7Hq8592cicit4jILQAOA/i5iNwaXRZZPici4hURifz/4khdTs213GKQKQ3HbFpO8vrfeOZwSiJRfFpmNutv29yJHc8cBgA8sudYSvqm2foytS17ZtNO07Fqv+vq1N3qMSy/y2ecitXlNVcO2wfZXbo+1uV1Y9umxPZ+bnMdPv+e8xKWfemaC9C+uB6uKgceeu4obr68HY/sOYab1rezTxBRSTjPW5cyHm7b1InzvBzToqz6/KdNyxSR29M8TimltqUtWOS7AN4BYBFmz9m7HUBV5MFfEZEbAfwlgGkAEwBuUUpljL8qloSibNMwdQlmZhPOktdf4qnB/sFh+ANBeD0urF5Uj/7BkZQ0TN36a1vcOBqYiN0fTctMvh19ftHHzyYgnn18/PMHkFDHTAmcNjWvaZnR16PD55lzWqYubVKXTpm8PD7Byet2oTuS4JSYfnm2rhMTU9jrH46lYnV53aipqTJdDpnGpDeL5TKeh8MK/QMBjE1OobKiAieGJ9G6wIXKCsFgYBKe2ioEJqawsM6Jxpoq+IcnUV3pwHAwhOYGF1yVFTgzEUJVhQPjoZmcUpNtPKYyLZPsjGNonjAtM7O8pmUqpe4AABG5Rin1/YQSRa7JVDml1Acz3H8PgHsylVOMskkozJRgZjbhzGj9dUsbsW7pbEPZ2Xs8JblwS3er4fpRyeVFbxs9v+1bOvHlpw7iyKmJtOma6crIJQmuVFVWOlJej1wZtQ3d/r9ybQue2D9ouNwozVK3/hVrFptKxdSVw/ZAhZbLeG6ULvsvV3djIDCJz3z/bDmfvmI1Bs5MJCRn3nntBTjf5zHd7jmmEpGdjU1MGqZlvq9zMepqeGgmMDuOp0sOz1Y2X4vfmuUyirBbMmTvcePkwt7juZ1KafT8btvZh43dbQAyp2vqymAS3PzR7f/+AePUSrPLe4+bS9fUlcP2QIWWy1hllHh28MRobGIXXfZvPzuAk2MhS9o9x1QisrN+/6hhWma/f7TANbMPq8bxdOfcvUdEvgygTUTujvv7OmYPpSQNuyVD6pIIB4dzq4/u+UnkS4VsUt7sto/KjW7/65KazC7Xp2iaK4ftgQotl7HKqD1nSsnMtmwr60lENF+YlpmZVeN4ul/ujgN4DkAw8m/0bxeAd5vaSpmxWzKkT1OfFndu9dE9v/hTGMo9Y/sJAwAAWOZJREFUPdPudPvf59EtN05w0q6vTdE0t122Byq0XMYqo/6STUpmNmVbWU8iovnCtMzMrBrHtZM7pdQepdTXAaxSSn0j7u+HSqnTuVS6XNgtGbKr1Ti5sLvVfPoiYPz8tm/pxKO9xwBkTtfUlcEkuPmj2/8dPuPUyg6f29T6Xa0eU6mYunLYHqjQchmrjBLPVi2ux5euSSzn01esxqI6pyXtnmMqEdlZh7feMC2zw5tdtkQ5sGocT5eWuReANk7KoguZm1YsCUVm0y4TkwJrsHpRXUK65dqWeuwbHM2UnqMVDE5j70AA/uFJeN3V6PS6MTA6GUtVS06uzJRkmZxsmCld0+j5m91HNlHQFK3kdtLhc2dMlMyUipm8/3XbSG5DXT4PXK5KjE+E0OcfiaVfdXobUFvj1KZiZkrvLLL2YEdMestBuqTJ+LbpdbtwajSE0xMhuF1VOD0eQqunBgLgxGgQDdVVODM+hRaPCyqs8PqZCbQ0VKO6ygFPTRXOjE1hcGQSjbVVGAtNY1F9NVyVFTg5Njnndl9EfYhpmWRnHEPzhGmZmWU5jueWlglgY+TfT0T+/Wbk3z9FmkkfzTKTdpmcrLa8qQafeEd77MTTnuUeXNuzPDFhKJJ2mc0ELxxWeOrgUOwkTaM0y/i0S6Pb8Wk94bDSJhsapWtasY/IOIFv+5ZObFnXpp3gZUrQM0rRNHpt17c3Y1ffQEri6ns7mvGYQfrVxs4W/PzQqay3C7A9UOFk6ifRtrnEU4Odvcdx79MHcV3PMtz91MHY+re8azWqKxz4p8dfiC27+fJ27Hj2CE6Ph/DpK1ajpsqhTcZchYY5Pw/2ISKyqzMTQcO0zCs7mznBi2PFOJ7usMwjSqkjAN6llPqcUmpv5O+vAVyZ8xYpRXKy2sbutoREoesvW5maMGQi7TI5fccozTI+7dLodnxaD1PZCsMoge+2nX3oH9C3A7OvlW79vQPGiav7/GOG6Vd9/hG2ESoa2faTaPLwxu622MQuuv6dPz2AU+OJyZd3PXkQV120xPJkTCKiYnNA83nhgJ9joNWyuRSCiMgfxN24LMvHUZaSk9WS0yYnJqfnlHaZnL6jS7MUSX87mtbDVLbC0CZTBvT73exrpVvfnyblysxythGyo2z7STTtVTeGGiVfRsdRK5MxiYiKDdMy5082k7SPAfg/IvKqiBwB8H8AfDS/1SovuiTCqNrqyjmlXerSd5JvJ6ddJt+OpvUwla0wdO3E69Hvd7OvlW59b5qUKzPL2UbIjrLtJ/EpsNkmX0bHUSuTMam8tS1dBhGZ01/b0mWFfhpUZpiWOX8yTu6UUs8ppdYBWAegWyl1gVLq+fxXrXwkJ6s9sudYQqLQN545nJowZCLtMjl9xyjNMj7t0uh2fFoPU9kKwyiBb/uWTnT49O3A7GulW7/LZ5y4er63zjD9qtPbwDZCRSPbfhJNHn5kzzHctL49Yf1b3rUaTbWJyZc3X96OHz5/1PJkTCpvx4++juu++syc/o4ffb3QT4PKzGrN54XVXo6BVkuXlvmnSqlvicgtRvcrpe7Ma800SjWhKD5ZMD4dM5rctralDvv8o7Gkwg5vAw6eHMs6NTE5AXFtS0PadMtMaZdFlMpmNVukZfoDQXg9LnT4PFmnZWabipmchBrdhi4tc2JiCnv9w7H0qy6vGzU1VTkle5IlmPSWg3RjWnySps9djaHREE6PT2FBbRUC41No8VQjHAZOjE5iQU0VhiemsNhdDQcER89MoLm+GhUOYEGtEzNh4PT4JKoqHBgPzRimEZcBpmXOwVyfP1D8+yDPOIbmCdMyLZNzWmZ0Kj33CC9KKxxW+NnLJ7RJbUZJbts2d+LepxPTLXWpibmmW6ZL62EqW2FUVjqwbmkj1i3N/jFGr5UueXNTV6thW7xybUtC4mp8G6qpqcLF5zQlbDNdmyuzD7FUJHRjWvz421jrxPVvWY67njybknnPhy7E0dPBlLZ+YmQSN37nhYRl3UsaAQAv94+wbxBRWZmYmDJMy3x/5+znCLJOurTMr0b++0Wl1B3Jf/NUv7KQKanN6P5oYlv0drrURKZbUjJd8mbv8YBhW+kfMF5uNnWTbY6KTXxbvuqiJbGJHTDbrnuPGveN3qMBw/bPvkFE5Wivf9gwLXOvf7jANSs92Rwj1ScivxaR/09E3ici2Z3oRVnLlNSmuz85zVKXmsh0S0qmTd7UtBXd+mZTN9nmqNjEt2WjlMywyj4588RIkH2DiMoS0zLnTzaBKqsAfBDAXgDvA7BHRF7Mc73KSqakNt39yWmWutREpltSMm3ypqat+DzWpG6yzVGxSW7Lye26QrJPzlzc4GLfIKKyxLTM+ZNxciciSwD8AYC3AbgQQD+AB/Jcr7KSKanN6P5tm1PTLXWpiUy3pGS65M3uVo9hW+nwGS83m7rJNkfFJr4tP/TcUdx8eWJKZtcS477RvcRj2P7ZN4ioHHV53YZpmV1ed4FrVnq0aZmxFUTCAH4H4B+VUg/PS63SsGtCUXyaWi7pZ8kJhWtb3DgamIiVl5xeucRTg/2Dw1mnJpZxuqXVbJmila79ZUrFTG5DurZitg2xzRWMLdvofJjrOKwr79TYJASCN8ZCaF3ggquyAifHJmPtGkBKWzdalpy+WcZ9g2mZc8C0zLwr2zE030YngtgXl5Z5vrcO9UzLzEXOaZlRFwJ4K4APicjfADgI4P8ppe63oHIlwSjN0kz6mVGy4PYtnfjyU2fTMI3SLc2kJjLdsnSla3/hsDJMxYwmqxq1IV1bMduG2OZoPs11HM6mvJvWt+MLj+3DX29Ym1KuUVvXtX/2DSIqN6HQDB7rH8LWh+PSMjd3Ykt3K5zOikJXr6Rkc87dHgDfAPCfAJ4C8IcAtua5XkVlrulnRo+/bWdiGibT1EgnXfvTpWLqklWJipXVKZRG5d391EFs7G7jeExEZFLv8UBsYgecTX7vPc7PI1bL5py73QCeBfBHAPYDeLtSanm+K1ZM5pp+lm0aJtPUyEi69qdNxdQkqxIVK6tTKNONyxyPiYjM0aVxDw5zLLVaNodlvkcpNZT3mhSxaPpZfKM1k36me3xyGibT1MhIuvZXU1VpeJ8uWZWoWM11HM62PKU4HhMRmeXTjKktbo6lVsvmsMycJnYi8jUROSEifZr7RUTuFpFDItIrIhflsh07mGv6mdHjt29JTMNkmhrppGt/ulRMXbIqUbGyOoXSqLyb1rfj0d5jHI+JiEzqavVg2+aktMzNsyndZK1sfrnL1dcB3ANgh+b+9wBoj/xdAuD/Rv61peQUtmhaZTSB8Io1i/HYTW/LKf3M4RBcubYFD9xwaay8tS0NuGhZY6y8ZY21CduPpmfqUuGsTo2juTH7eujW1y2/Ys1ifOtjl8A/HITP7UJXqwcOh8DhEGxZ14b2xfXaVMxst0FkZw6HYEOHF+elGYeNkmMBpCxzOASvnhpDY20VHrjhLQjNzMBZ4cDUTBjv7vCiwgE899obcFY4MB6aYT8hIsrA6azAho5mrGi6OJaWeZ63jmEqeZC3yZ1S6hcisiLNKpsB7FCzWby/EZEFIuJTSg3kq065Sk5N61nuwbVvXp6Q+BNNIMwl/cwoLTM+HdMotU2Xphn9cG5lahzNjdnXQ7f+lWtbDNvJFWsWY9fe49pETKNUTLPbYNuhYpAuhXJ6OpySHPuFP+qCs0LwVz/ojS37l6u74RAHPvP91D4AAI/3+/HFx/fjup5luPupg+wnRERZGJuYxON9Q9i6Ky4tc1Mn3te5GHU1vJC5lbSHZYrIVen+LNh2G4DX424fjSyzneTUtOsvW5mS+DOXBMJMKW9m0zStTo2juTH7eujW7x8IGC7vPW4+EdPsNth2qNgZJcf+7X/txcETownLDp4YjU3sosuifSDabzZ2t8UmdsnrEBFRqn7/aGxiB0TSMnf1od8/WuCalZ5059y9P83fxvxX7SwRuUFEdovI7qGh+c92SU5Nm5ictjSBMFPKm9k0TatT4yizdG3U7OuhW1+bfKlZP117NLsNtp3iV+hxtNB0bTucdB3nsIK2D0T7TTQx02gdyk25t0+yP7bRuRkcntSkZU4WqEalS3tYplLqI3ne9jEA8ZdPXhJZZlSX+wDcBwA9PT3KaJ18Sk5Nq622NoEwU8qb2TRNq1PjKLN0bdTs66Fb3+epMW53mvXTtUf9Nth2SlWhx9FC0/Wf5KMoKwRp+0B8GAD7iXXKvX2S/bGNzk2Lu1qTlslDMq2WMS0TAETkfSLyORHZGv2zYNu7AFwfSc28FEDAjufbAampad945nBK4s9cEggzpbyZTdO0OjWO5sbs66Fbv8PnNlze3eoxnYip34aHbYdKklFy7Bf+qAvti+sTlq1aXI8vXWPcB6L95pE9x3DT+nb2EyKiLHV467FtU1Ja5qZOdHjNZ1VQeqJU+i8fROQrAGoBvBPAfwC4GsB/K6U+luFx3wXwDgCLAAwCuB1AFQAopb4iIoLZNM0NAMYBfEQptTtThXt6etTu3RlXs1w0QTCawhZNy0xOILSqfF36ZXx65munx7Nen0lulsm4E43aqNnXQ7e+bnk0BdBMezS7DSoaObXRcmDUTwCkLIumZRr1gWj/eGNsElVMy8xV2h2VqX2KCK776jM5b/yBj1+GTJ997Gyuzx8o/n2QZxxD82RsYhL9/tFYWmaHt55hKrlJ20azmdz1KqW64/6tB/BjpdTbrKxlttihqMA46JPdsY2S3XFyNwec3OUdx1Cyu7RtNJufmiYi/46LSCuAKQC+udaKiIiIiIiIrJPNde4eFZEFAP4FwPMAFGYPzyQiIiIiIiKbyGZy989KqUkAD4nIowBcAJj3TERERFSMHJUQyf0c0dYlS3Hs9dcsrBARWSWbyd2zAC4CgMgkb1JEno8uIyIiIqIiEp6e83mLRGRP2smdiHgBtAGoEZELcfbkPTdm0zOJiIiIiIjIJtL9cvduAB/G7MXF74xbPgzg83msExERERHZFQ/rJLIt7eROKfUNAN8QkT9WSj00j3UiIiIiIrviYZ1EtpXNpRB+LSL3i8iPAUBEzheRtBcwJyIiIiIiovmVzeTuPwH8BEBr5PYBAJ/KV4WIiIiIiIjIvGwmd4uUUg8CCAOAUmoawExea0VERERERESmZDO5GxORJsxevBwicimAQF5rRURERERERKZkc527WwDsAnCuiPwaQDOAq/NaKyIiIiIqTUzbJMqbjJM7pdTzIvKHANZg9lp3LyulpvJeMyIiIiIqPUzbJMqbjJM7EXEB+F8A3orZQzN/KSJfUUoF8105IiIiIiIiyk4259ztANAB4MsA7on8/5v5rBQRERERkaHIYZ25/rUtXVboZ0CUN9mcc9eplDo/7vbTIrIvXxUiIiIiItLiYZ1EWtlM7p4XkUuVUr8BABG5BMDu/FbL/sJhhVdPjWFwOIgWtwsrmurgcOR+cjARWYN9c/5xnxNRueM4SHaRzeTuTQCeEZFoLNEyAC+LyF4ASinVnbfa2VQ4rPB4vx+3PPgiglNhuKocuPPaC7Chw8uOTFRA7Jvzj/uciModx0Gyk2zOudsA4BwAfxj5OyeybCOA9+evavb16qmxWAcGgOBUGLc8+CJePTVW4JoRlTf2zfnHfU5E5Y7jINlJxsmdUupIur/5qKTdDA4HYx04KjgVxokRBogSFRL75vzjPieicsdxkOwkm1/uKEmL2wVXVeKuc1U5sLjBVaAaERHAvlkI3OdEVO44DpKdcHKXgxVNdbjz2gtiHTl6bPWKproC14yovLFvzj/ucyIqdxwHyU6yCVTJmYhsAHAXgAoA/6GU+v+S7v8wgH8BcCyy6B6l1H/ks05WcDgEGzq8OO+mt+HESBCLG1xY1ljLlCSiPDCTQGbUN9kX8yt+nw8OB1HrrEBoJoxXT41x3xNRWXA4BFeubcEDN1yKgUAQPo8LHT4Pxz8qiLxN7kSkAsC9AN4F4CiA34nILqVU8jXyHlBK3ZiveuSLwyFY2VyPlc31TEkiypNc+lZ836T54XAIVjTV4SX/CD7y9d9xHCSishIOKzyxf5CfA8kW8nlY5sUADimlDiulQgC+B2BzHrdXMExJIsoP9q3iwdeKiMoVxz+yk3xO7toAvB53+2hkWbI/FpFeEfmBiCw1KkhEbhCR3SKye2hoKB91nROmJJHd22ixYt+yTr7bKF8rmguOoWR36dooxz+yk0IHqjwCYEXkQug/BfANo5WUUvcppXqUUj3Nzc3zWsFsMCWJ7N5GixX7lnXy3Ub5WtFclNMY2rZ0GUQk5z8qjHRtlOMf2Uk+A1WOAYj/JW4JzganAACUUqfibv4HgH/OY33yJpqSlHysNVOSiOaGfat48LUiys7xo6/juq8+k/PjH/j4ZRbWhqzA8Y/sJJ+Tu98BaBeRczA7qfsAgA/FryAiPqXUQOTmJgD781gfSyUn+K1vb8a3PnYJ/MNB+NwudLWmT0kKhWbQezyQsL7TWZH19phCR+UgXfrl9HQY/QOBSDJZDTp8blRWmj8YQde3dMut2m4uCjUOGG13ejocG8NaPS4sqKnCgpoqfPtjlyAQDKGprhodPg8A4PDQKMcuIipZDofg7asaseOjF2NweBIt7mqc7+VYR4WRt8mdUmpaRG4E8BPMXgrha0qpfhHZBmC3UmoXgJtEZBOAaQBvAPhwvupjpeQEv+VNNfjEO9ux9eG+2Dc227d0Ysu6NsMPfaHQDHb2Hk9Yf9vmTmzpbjWc4DGNk8qZUfrl9HQYO/ccw207s+tzOrq+deXaFsPksyvWLMauvcfnvN1cFGocMNruV//sIgwOhxLGsJsvb8eOZ4/g9HgIN61vxwO79+HvNp6P0LTi2EX24qic0+GNrUuW4tjrr1lYISp2YxOTeKxvCFt3xX2u29SJ93UuRl1NdaGrR2Umr9e5U0o9BuCxpGVb4/5/K4Bb81mHfEhORdrY3Rb7kAPMnkR7284+tC+ux7qljSmP7z0eSFl/68N9WLmoDj0rFmbcXjSF6byb3sa4dypL/QOB2AQLyNzndHR964EbLjVc/q2PXWLJdnNRqHHAaLsjEzMpY9hdTx7Ex966Evc+fQh3PzX7/96jAdz3i8Mcu8hewtM8LJIs1e8fjU3sgMjnul19WLHoYlx8Did3NL8KHahSlJJTkURgmJLkDxinJPk1qUqDw8brM4WJKNFAwLhP6Pqcjq5vacvXrG92u7ko1DhgtN2xyWnDukR/DIn+P6yMx0aOXURUSgaHJzWf6yYLVCMqZ5zc5UCXipR82+sxTknyaR7f4jZenylMRIl8nhpTfU5H17e05WvWN7vdXBRqHDDabp2r0rAuSiX+v0KMx0aOXURUSlrc1ZrPdfzVjuYfJ3c5iKYiRTvyI3uOYdvmztjt6Hk40TCBZF2tnpT1t23uRHer8frJ22MKE5W7Dp8b27dk3+d0dH2rw+c2XN7d6rFku7ko1DhgtN0GV0XKGHbz5e344fNH4apy4Kb17Xi09xi6lng4dhFRyevw1mPbpqTPdZs60eHl4ec0//J6zp2dJKe9LWusxWunx7UJbulS6RwOwZVrW/DADZfGEvPaF9XinKZa+Icn4XVXo8vn0QYsOJ0V2NLdipWL6mLld6dJyzTaXofPzUCCMlRMqan5rGtlpQObulqxoqkO/uEgvJE+VFnpMJVmmS6N84o1i2MJuN64PrplXRvaF9fDHwjC63GhI01ft1K6uuZ7u/H7YumCGoSVwkRNGDs+ejHOjE9hYZ0TjbVVuGDpAlRVODAcDOHuD1wUG6fmu85ERPOprqYaV3Y2Y8Wis2mZq711DFOhgiiLyZ1R2tv2LZ348lMHceTUREqCW6ZUunBYpSTpbdvciXufPltepgQ9p7PCMDxFV3+j5D4mzpWXYkpNzXddw2GFn718wpI0S10aZ7py1i1txLqlhsXllVFd8y1+XzTWOnH9W5bjricPxvbLbDLma/jrDWvhrBTc+J0XUl7z+a4zEdF8GpuYxBNMyySbKIvDMo3S3m7b2YeN3W2x27c8+CJePTWmXT/T/VsfTizvtp196B8I5K3+8fWh8lBM7SDfddWV33vcOEXTbF/UpXFa1aeLSfy+uOqiJbGJHTC7X+5+6iA2drfN7v+jgaJon0REVtKlZfb7RwtcMypHZTG506XMxV/mJj7BLVMqXbblWZWgx7RMAoqrHeS7rrryrUqztCqNsxTE7wtdMnB0eVgh5T47tk8iIisxLZPspCwmd7qUOaUSb0cT3DKl0mVbnlUJekzLJKC42kG+66pNubQozdKqNM5SkLwvdGOfq8qB5CNu7do+iYisxLRMspOymNwZpb1t39KJR3uPxW7HJ7hlSqUzun/b5sTyrEzQY1omAcXVDvJdV135XRalWVqVxlkK4vfFQ88dxc2Xtyfsl2gy5p3XXoDuJZ6iaJ9ERFZiWibZSckGqoRCM+g9HoB/OAif24X17c14LC6xzVdfjeULz6ZbdngbsPfYmVjC3jtWNeGbH71Ye//bVzVix0fPpiKt8dZhRVNt7HaHtz4hsW9tSwOOBiZiyYFLPDXYPzgcu39Ncz1eHhoxTPgzSslb1lhbNKmJZI1CpSVmokvFXN/enNCHunweOByS0je7IimUExNT2OsfjvWhLq8bNTVV2vL/cNXChD7Y4a2H01mB953vxbKFtQnlpEvR1C2PT+OM1jNdKmYu6aB2Sj81qks4rNA/EMCq5prYvj5nUS16ljfixMgkmhuqMRycwpeuWYcqhwOvnZ7Ajo9eDIeEUVVRhQ6fGwBweGjUFs+RiCgfmJZJdlKSk7tQaAY7e49j68NxqUWbO2cvP9Bcb3z/pk7c+/PZtMvlTTX4xDvaYyfHJt/uWe7BtT3LU1KRoo+P3n5w9xHsPhKYffw721PqE03XNCovOeEvPiWvmFITyVqFSEtMR9cW17c3Y1ffQEqb39jRgkf7B1OWv7ejGY8ZJI1t7GzBzw+dSin/D1ctxI/6TqSs/57OZvy4fyil/Pd3ePGjff6U9MuNHT482j+QsnxTV6thGqeuj+XSJ+3Uj43qcs+HLsSZ8Sk80X8cl6/14fZd/Vi9uB4fvGQ57nikPyUt8wNvXoYdzx7B6fEQtm3qwO5XX8eVna0ITStbPEcionw5MxE0TMu8srMZC2p4aDrNr5I8LLP3eCD24Q44m2bZezygv3/X2bTLjd1tCalHybevv2ylYSpSfFrm1l19uP6ylWcfb1Cf6PpG5aVL5ium1EQqbbq2uHfAuA/2+UcMl+/zjxn2qT7/iGH5umSy/f4xw/L3+ocN0y/3alIxe48HTPWxXPqknfqxUV16j87umz+59Bzcvmt2MvcXbz83NrGLrhdNy7zryYO46qIlkdeiH1suWobeo+b2IxFRMTqgeQ874OdYR/OvJCd3usS8weFg2vujaZfJiXDJtycmp7NKy5wITRs+Pnl9XXm6ZL5iSk2k0qZPrdQnh9lpua6eujFC18dy6ZN26sdGdQmr2fqcHpuK3Zdu7Isf04JTYZwanYyVkbw+xyoiKiVMyyQ7KcnJnS4xr8XtSnt/ctpl8v1RtdWVWT2+xlmZcFu3vq48XTJfMaUmUmnTtUVvmuQwOy3X1dNrso/l0ift1I+N6lIhs/VZWFcVuy/d2Bc/prmqHGiqr46Vkbw+xyoiKiVMyyQ7KcnJXVerB9s2J6UWbe5Ed6tHf/+ms2mXj+w5lpB6lHz7G88cNkxFik/L3LapEzueOXz28Qb1ia5vVF66ZL5iSk2k0qZNrfQZ98FOb4Ph8vO9dYZ9qtPbYFi+LplsrbfOsPwur3H6ZZfPOF2zu9Vjqo/l0ift1I+N6tK1ZHbffOs3r+COTR1wVTnw77/4PW5/f4dhWubNl7fjh88fjbwWHdj5/GvoWmJuPxIRFaPVmvew1V6OdTT/SiJQxSjlbUt3K1Yuqost644k8gGA01mRcn9HSwPWeOvhDwTh9bjQvqgO5yw6m6a51luHcxadTf47z1uXkIp0vrcOK5vPlnd+Sz1WNp9N2uvwuiMJc7Mph0s8NVjTcnZ7a5oTt9/h0yfz2TU1kcpPurb4/g5vQoJsNP1yU6cP5zTVJqRoulyVeH+nFysWpa6vK39jZ0vC+p3eBtTWOLV93yj90umswJZ1bWhfnNr3zPSxTH1Sl4ppl34cX5fB4SBqnRUIzYTRvrge7c31mJiewo6PXowTw5NYtrAG3/zoxbG0zMDEFP716nVwVjqwpLEWLe5q1FVXoGfFwtgkzg7PkYgoXxbUuAzTMhmmQoVQ9JO7dIlzPSsWah/ndFak3L9uaSPWLU0t0yjtMjnNEgB6Vrgy1ik+5TC6Pd3tdOyWmkjly6gtTk+HDdMpN3W14qmDQ4Z9o6amChef05RV+QBQW+M0XN+ob4fDSpt+WVnpMOx7ZvuYbv1MqZh26ccOh2BFUx1e8o/gI1//nWFdp6fD2LnnWMLrGk3L/OT69pQxMcouz5GIKB8mJqYM0zLf3zn73kY0n4r+sMx8JM4ll2mUdsk0SyK9fotSKK1SyD5ZTONBproava7RtMx0YyIRUSnb6x82TMvc6x8ucM2oHBX95C4fiXPJZerSLplmSWRsIKBL0SxM3yhknyym8SBTXXWva3SM1I2JRESljGmZZCdFP7nLR+Kcrszk20yzJDLm89RYkkJplUL2yWIaDzLVVfe6RtMydWMiEVEpY1om2UnRT+7ykTiXXKZR2iXTLIn0OnzG6ZRmUyitUsg+WUzjQaa6Gr2u0bTMdGMiEVEp6/K6DdMyu7zuAteMylFeA1VEZAOAuwBUAPgPpdT/l3R/NYAdAN4E4BSA65RSr5rZRj4S54zKTE63ZJolkV5lpcOSFEqrFLJPFtN4kKmu8a/r4PAkGmurMBaaxt0fuDDtmEhEVMpqaqq0ic9E8y1vkzsRqQBwL4B3ATgK4HcisksptS9utY8BOK2UWiUiHwDwRQDXmd1WPhLnjMpkmiVR9qxKobRKIftkMY0HmeoafV2JiOgsXeIz0XzL59esFwM4pJQ6rJQKAfgegM1J62wG8I3I/38A4HIRsd/X2URERERERDaXz8ldG4DX424fjSwzXEcpNQ0gACDlaw8RuUFEdovI7qGhoTxVlyh3bKNkd2yjZGdsn2R3bKNULIriBAml1H1KqR6lVE9zc3Ohq0OUgm2U7I5tlOyM7ZPsjm2UioUopfJTsMhbAPy9Uurdkdu3AoBS6p/i1vlJZJ1nRaQSgB9As0pTKREZAnAkL5XOzSIAJwtdiTTsXj/A/nWMr99JpdSGdCtnaKN2f675UG7PudDPd65tdD4Ueh9Zgc8hd2nbaFz7LIV9bEa5PV/Ans+5FN/n7VYnu9UHsF+d0tUnbRvNZ1rm7wC0i8g5AI4B+ACADyWtswvAnwN4FsDVAJ5KN7EDAKWUrb4uEZHdSqmeQtdDx+71A+xfR7P1S9dG7f5c86HcnnMxPN9Cj6PFsI8y4XPIn2j7tGv98qXcni9QvM+52N7n7VYnu9UHsF+d5lKfvE3ulFLTInIjgJ9g9lIIX1NK9YvINgC7lVK7ANwP4JsicgjAG5idABIREREREZFJeb3OnVLqMQCPJS3bGvf/IIBr8lkHIiIiIiKiclAUgSo2d1+hK5CB3esH2L+OVtbP7s81H8rtOZfb881FKewjPof8s3v9rFZuzxcozedsx+dktzrZrT6A/eqUc33yFqhCRERERERE84e/3BEREREREZUATu6IiIiIiIhKACd3REREREREJYCTOyIiIiIiohLAyR0REREREVEJKLrJ3YYNGxQA/vGvUH8ZsY3yr8B/GbGN8q/Af2mxffKvwH8ZsY3yr8B/aRXd5O7kyZOFrgJRWmyjZHdso2RnbJ9kd2yjZGdFN7kjIiIiIiKiVHmb3InIUhF5WkT2iUi/iNxssI6IyN0ickhEekXkonzVh4iIiIiIqJRV5rHsaQCfUUo9LyINAJ4TkZ8qpfbFrfMeAO2Rv0sA/N/Iv7YTDiu8emoMg8NBtLhdWNFUB4dD5m17yxpr8drp8djt1gYX+vzD8A8H4XO70OF14/hIMHb/Ek8N9g8OYyAQhM9TgzXN9Xh5aER7+9xFLuzzj2FweBIt7mqs8dbh5bjba711eMk/Bv/wJLzuanT5PHC5zjafiYkp7PUPx9bv8Nbj0MnxWPkdPjfCYYXe44FYnbtaPXA6K7TPOdNzTN4nya9Jcnm++upIecbPYb5f43SsrEswOI29A4GU5z09HUb/QCDhNaqsdGjXH50IJrSR8711qK9xacs5MxHEgbj1V3vrsKDGpS0/uQ11ed2oqalCKDRj2G5027Vqn5otn8hIpnYXbWf+4SAaa50YDk6hua4aYSicngih3lmFEyOT8LldcFYKjp0JoqnOCZEwlHLg1FgIXk8NKgQ4NRZEbWT9Vo8LFQIcCwSxqL4aI8EpLKqrhjgAf2B2W2OhKXg9LowGwwn9q7LSgVdPjeHU2CScFQ6Mh2ZidQcQez6tC1w4MzaFgeHZPrK2pQFHAxO2GEMpka4d6sY53fq65YGJYMJnhjXeOnhqXNpxfXwihD7/SGx5p7cBtTVO7XLd+4DufUm3vm45USnJ2+ROKTUAYCDy/xER2Q+gDUD85G4zgB1KKQXgNyKyQER8kcfaRjis8Hi/H7c8+CKCU2G4qhy489oLsKHDm5c3LqPtbd/SiS8/dRBHTk2gZ7kH1/Ysx9ZdfQhOhbG8qQafeEd77LaryoFtmztx79Oz67uqHNi2qRP3/nz2tuH6cfdnu/6mLl/sQ/kjff6U+x/cfQS7jwTgqnLgH/+oC5UVgs/9oDehjlu6W+F0VqQ85yvPX4Qr1ramlPmz/cfxxL6TWN5Ug0+ub8dtO/sMX5Pk8q59kw89K5q1z2G+X2Ozr3+udQkGp7Fr70DK897Y2YLH9g0m7L/tWzrx3vNb8GjfYMr6V3Y244m+oZTlGzqb8cS+oZRyrjjfeH1dOe/pbMaPDZa/t7MZj/UPYevDiW37/R1e/GifP2W7W9a1GU7AzO7T6ekwdu45lnX5REYytTujdnbrhvNweGgM3/7tEVzXswx3P3Uwdt/Nl7djx7NH4KwUfOIdq7B1V3/svjs2dSA0HcYXHnsBjbVOXP+W5bjrybOP/fQVq3GsagL/+OOXYss+e+UanB6fxq0/3JvQv5Y0VuPWH/albP/Oay+As1Jw43dewOrF9fjgJctxxyP92vedQo2hlEjXDq9Ysxi79h5PGec2dbXiZy+fSFn/yrUteGL/YMryy1Y1mhrv393ZjJ+YfX8weB94d4dxOe/ubMZPDNbf2NGCR/sHU5ZHP4cQlYp5+ZQiIisAXAjgt0l3tQF4Pe720cgyW3n11FhsMAOA4FQYtzz4Il49NTZv27ttZx82ds/umusvWxkbzABgY3dbwu3gVBhbHz67fnAqjK27zt42XH+X+fX3DgQAAHv9w4b3X3/Zytjtz//XXhw6MZpSx97jAcPn/CeXnmNY5p9cek6sTtE3pOj98a9JcnlbLlqW9jnM92ucjpV12TsQMHzeff6RlP13287Z5UbrH/CPGS5/yT9mWI5ufd3y/Zrl+/xjsTfi2PKH+7DXP2y43f7I6znXfdo/EDBVPpGRTO3OqJ2dGg/hzp8ewMbuttjEKnrfXU8exFUXLYmMyf0J992+qx9Do5MIToVx1UVLYhO76P3/9rMDODkWSlj2r0+8jFdOjqX0r+kZGG7/lgdfRO/RAIJTYfzF28+NTeziHxv/PlKoMZQS6dph73Hjca73eMBw/f4B4+Vmx/uXc3l/MHgf0JXzsmb9Pv+I4fLo5xCiUpH3yZ2I1AN4CMCnlFLDOZZxg4jsFpHdQ0ND1lYwC4PDwdhgEBWcCuPESHBetyeRLz8nJqcT7hdB2vWTb1u1/uDwZKS+k4b3T4SmE26Hk8JbZ8sIGj7n02NThmWeGZ9KW6foa5Jc3skR4zqefQ5ze42tbKNWtje/5rXRvWbFvtwfMN5HZvfpQMB4fV35xaDQ42g5ytTujNpZWJ0df3XjtO6+6Bib6f5My06PT2UsI/l9KL5+Rs81E7bP/NG1Q7/J5bpx0W7vA+aXW9tG25Yug4jM6a9t6bKs6mRXc90Hxf78gcLug3yecwcRqcLsxO7bSqkfGqxyDMDSuNtLIssSKKXuA3AfAPT09GS8voPVWtwuuKocCYOCq8qBxQ2ued2eijzz2upKw/t16+tuz3X9Fnd1pL7VhvfXOCsTbicfmTNbhsvwOS+sqzIsc0FtVdo6RV+T5PKaG4zrePY5zO01trKNWtnevJrXRveaFftyr8d4H5ndpz5Pjanyi0Ghx9FylKndGbWzCpldJ7qu0TgtYnxf/Bib6f50yxoj42y6MnTvQ8nvG4UYQymRrh16TS73eYyX2+19wPxya9vo8aOv47qvPpNVmToPfPyyOT2+0Oa6D4r9+QOF3Qf5TMsUAPcD2K+UulOz2i4A10dSMy8FELDb+XYAsKKpDndee0HCG+6d114QO7l8Pra3fUsnHu2dnfd+45nD2LapM3b/I3uOJdyOHkceXT96HHr0tuH6m8yv3+XzAAC6vG7D+3c8czh2+x//qAurFten1LG71WP4nL/1m1cMy/z2b16J1Wn7lk7ta5Jc3n89/1ra5zDfr3E6Vtaly+cxfN6d3oaU/bd9y+xyo/VXe+sMl5/nrTMsR7e+bvlazfLzvXXYtjm1bXd53Ybb7Yi8nnPdpx0+c+UTGcnU7oza2cJaJ25512o8sucYblrfnnDfzZe344fPH42MyR0J992xqQPN9bMfXh967ihuvjzxsZ++YjUW1TkTln32yjU4Z1FdSv+qrIDh9u+89gJ0L/HAVeXAv//i97j9/R0pj41/HynUGEqJdO2wu9VjOM51t3oM1+/wGS83O96vyeX9weB9QFfOGs36nd4Gw+XRzyFEpUKUys8XZCLyVgC/BLAXQPRrks8DWAYASqmvRCaA9wDYAGAcwEeUUrvTldvT06N27067Sl5EE6JOjASxuGH+0jKj24smQ0ZvR5Mko4lVnZEkyej90bRMfyAIr8eFNc0NeHloRHv73EU1WaVlxhKvskzLjJbf4fPE0jKjde7WpGVm+xyT94kuLTN6fzQtU/ccsnyNM77oVrRRK9tbNJ0y+XnHUvriXqP4tMzk9TOlZSaXkyktM7n8TGmZye1Gt12r9qnZ8m1kXtooZSdTu4u2s8HhSSyorcJwJNVSQeHMRAh1zioMjUyixe1CdVxapkPCCEfTMt0uVDgklpY5NDIJX1Ja5ujkFBbWVsPhAPyBSTTWVmEsNA2vuxqjk+GE/hVNy3xjbBJVmrTMEyNB+DyzaZn+4dk+srbFjaOBiWz6WNo2yvZpPV071I1zuvV1y+crLTP5fSBTWmby+rrlSeY0hoqIJb/c5evz+XyY6z4o9ucP5H0fpG2jeZvc5QsHfSowfnAmu2MbJbvj5I7sjJO7OeLkrrCTu6L4GpqIiIiIiIjS4+SOiIiIiIioBHByR0REREREVAI4uSMiIiIiIioBnNwRERERERGVAE7uiIiIiIiISgAnd0RERERERCWAkzsiIiIiIqISwMkdERERERFRCeDkjoiIiIiIqARwckdERERERFQCOLkjIiIiIiIqAZzcERERERERlQBO7oiIiIiIiEoAJ3dEREREREQlgJM7IiIiIiKiEsDJHRERERERUQng5I6IiIiIiKgEcHJHRERERERUAji5IyIiIiIiKgGc3BEREREREZUATu6IiIiIiIhKACd3REREREREJYCTOyIiIiIiohLAyR0REREREVEJ4OSOiIiIiIioBHByR0REREREVAI4uSMiIiIiIioBeZvcicjXROSEiPRp7n+HiARE5MXI39Z81YWIiIiIiKjUVeax7K8DuAfAjjTr/FIptTGPdSAiIiIiIioLefvlTin1CwBv5Kt8IiIiIiIiOqvQ59y9RUT2iMiPRaRDt5KI3CAiu0Vk99DQ0HzWjygrbKNkd2yjZGdsn2R3bKNULAo5uXsewHKl1DoAXwawU7eiUuo+pVSPUqqnubl5vupHlDW2UbI7tlGyM7ZPsju2USoWBZvcKaWGlVKjkf8/BqBKRBYVqj5ERERERETFrGCTOxHxiohE/n9xpC6nClUfIiIiIiKiYpa3tEwR+S6AdwBYJCJHAdwOoAoAlFJfAXA1gL8UkWkAEwA+oJRS+aoPERERERFRKcvb5E4p9cEM99+D2UslEBERERER0RwVOi2TiIiIiIiILMDJHRERERERUQng5I6IiIiIiKgEcHJHRERERERUAji5IyIiIiIiKgGc3BEREREREZUATu6IiIiIiIhKACd3REREREREJYCTOyIiIiIiohLAyR0REREREVEJ4OSOiIiIiIioBHByR0REREREVAI4uSMiIiIiIioBnNwRERERERGVAE7uiIiIiIiISgAnd0RERERERCWAkzsiIiIiIqISkHFyJyLnZLOMiIiIiIiICiebX+4eMlj2A6srQkRERERERLmr1N0hIucB6ADgEZGr4u5yA3Dlu2JERERERESUPe3kDsAaABsBLADw/rjlIwD+Rx7rRERERERERCZpJ3dKqYcBPCwib1FKPTuPdSIiIiIiIiKTsjnn7pSIPCkifQAgIt0iclue60VEREREREQmZDO5+3cAtwKYAgClVC+AD+SzUkRERERERGRONpO7WqXUfyctm85HZYiIiIiIiCg32UzuTorIuQAUAIjI1QAG8lorIiIiIiIiMiVdWmbUJwDcB+A8ETkG4BUAf5rXWhEREREREZEpGSd3SqnDAK4QkToADqXUSDYFi8jXMHsphRNKqU6D+wXAXQDeC2AcwIeVUs+bqfx8CocVXj01hsHhIFrcLizx1GD/4DAGAkH4PDVY29KAo4GJ2P3LGmvx2unx2O0VTXVwOERbnrfeiT7/CAaHJ9HirsZ53jq85B/T3j7fW4eXBsfhHw7C53bh/JYGHDg5GqtP+6Ja9PtH4B+ehNddjbXeOuz3j8Vud3gbcPDkWGz91Yvq0D84oi0v+fklP//kx3d43Tg+Ekx4/gASnnOmfVRKkl/vTM91ejqM/oFAbP92+NyorHQgFJpB7/FAbD93tXrgdFZolwNAMDiNvQOB2Gvf5fPA5arUPmZiYgp7/cOxttbldaOmpgrjE6GENtrpbUBtjRNjE5Po94/Glnd461FXU43RiSD2JbXZ+hqX6eeg23dm9ymVvkxtwqhfAUD/QACDw0E01VUjDIXm+mrMhIETI0HUOisxEw5jJqwwNDqJZQtrMRGawRvjU2isrcKpsUn43C4oBZwYDaGxtgqBiSl43S5Mz4RxLBDE4oZqjIWm4XFVoUKAgZFJLKx14vT4FBbVOVFd6cDxwAQaa50YC01hUb0LrsoKnJ4IwVnhwHhohm28hOnGULNj9JmJIA7EjbmrvXVYUONKu43hiWDKZw13mnGa4zGR/WWc3InILUm3ASAA4Dml1ItpHvp1APcA2KG5/z0A2iN/lwD4v5F/bSccVni8349bHnwRwakwepZ7cO2bl2Prw30IToWxvKkGn3hne+y2q8qB7Vs68eWnDuLIqQm4qhy489oLsKHDGxsEU8rrWY6tu+LKe0d77PaV5y/CFWtbY7ddVQ5s29SJn+0/jif2nYzdfnD3Eew+EkhZP7m85NvRx9/787P1Tbm9uRP3Pj17O/n5J9c/uT7R5++sFNz4nRey2kelJPn1zvRcp6fD2LnnGG7bmdie3ne+F4/0+xPa2bbNndjY0YJH+wdTlm/pbkU4rLBr70DKa/O+zsX4Uf+JlMe8t6MZj/UNpaz/7s5m/MRg+ZWdzXjCxPJ3dzbjJ/1DWT+HTZ0+PHVwKGXfXbm2BU/sH8x6n1Lpy9TPjPrVF/6oC84KwV/9oDe27NYN52FyJow7f3ogNl7+z7evwh2P9mP14np88JLl+Mr/O4Trepbh7qcOxh53y7tWo7rCgZu/d3aMu/nydux49ghOj4fwT3/UhcNDY/iXn7wcu/+m9e34x92v4QNvXhZb79YN5+HA4Bi+/dsjKdtgGy89YxOT+FHfiZSxckNnMx43GCt1Y3S6sbgKYriNtOO3wbY5HhMVh2zOuesB8D8BtEX+Pg5gA4B/F5HP6R6klPoFgDfSlLsZwA416zcAFoiIL+uaz6NXT43FBi0AuP6ylbFBDwA2drcl3A5OhXHbzj5s7G6L3b7lwRfx6qkxfXm7ksqLu/0nl56TcDs4FcbWXX34k0vPSbh9/WUrDddPLi/5dvTx8fVNuf3w2dvJzz+5/sn1iT7/3qOBrPdRKUl+vTM91/6BQOwDaHT923b2Ya9/OKWdbX24D33+EcPlvccD2DsQMHxt+v2jho/Z5x8zXP9lzfIDJpe/7B8z9Rz2DgQM912/Znkpth/KTqZ+ZtSv/va/9uLgidGEZafGQ7GJHTA7Xt7xaD+CU2H8xdvPxR2P9GNjd1ts0hV93J0/PYBT46GEZXc9eRBXXbQEwakwXjl1dmIXvf/upw5iY3dbwnrR7Rttg2289PT7Rw3Hypc0Y6VujE43Fuu2kXb85nhMVLSymdwtAXCRUuozSqnPAHgTgMUA3g7gw3PYdhuA1+NuH40sSyEiN4jIbhHZPTQ0NIdN5mZwOBgbtABgYnI64bYIEm4Ds7dFEm+fGAnmVN7psSnD8s+MTyXcnghNG66fXF629dXdTq5v8u3k+kRvhxVS1tHto2KTro0mv95A+uc6EDBef3B40uTyIPymH2Ov5br66/ZRsbaf+VDocTTfMvUzXZtJHpfCSj9eRsc63RiaboxLLjf+fqP1dNso1TZe6u1TZz7GVo7H1ijXNkrFJ5vJ3WIAk3G3pwC0KKUmkpbnjVLqPqVUj1Kqp7m5eT42maDF7YKr6uyuqq2uTLgNwPC2Uom3Fze4cipvYV2V4f0LaqsSbtc4K9Oub7a+utvJ9dXVP1qf6O3kozPS7aNik66NJr/eQPrn6vPUGK7f4q42udwFr+nH2Gu5rv66fVSs7Wc+FHoczbdM/UzXZpLHpQrRj5fxY102ZcWPcbpyldKvV05tvNTbp858jK35H4/NvccVq3Jto1R8spncfRvAb0XkdhG5HcCvAXwnErCybw7bPgZgadztJZFltrOiqQ53XntBbPD6xjOHsW1zZ+z2I3uOJdyOniP1aO+x2O07r70gFipiWN6mpPLibn/rN68k3I4eF//t37yScHvHM4cN108uL/l29PHx9U25vfns7eTnn1z/5PpEn3/3Ek/W+6iUJL/emZ5rh8+N7VtS21OX153SzrZt7kSnt8FweXerB10+j+Fr0+GtN3zM+d46w/XXaJavNrl8jbfO1HPo8nkM912Hz21qn1Lpy9TPjPrVF/6oC+2L6xOWLax14pZ3rU4YL2/f2AFXlQP//ovf4/b3d+CRPcdw0/r2hMfd8q7VaKp1Jiy7+fJ2/PD5o3BVObCiqQ5/9e41CffftL4dj/YeS1gvun2jbbCNl54Ob73hWHmeZqzUjdHpxmLdNtKO36bGY+PlbKtEhSFKKf2ds+kpSwC0APiDyOJfK6V2Z1W4yAoAj2rSMt8H4EbMpmVeAuBupdTFmcrs6elRu3dntXlLRZOgTowEsbjhbFqkPxCE1+PC2hY3jgYmYvdHkyCjt3VpmdH7c03LjCZTdUTSLaP1aV9Uh/648qJpmWeTsmbTMqPrr15Uj/7BEW15yc8v+fknP74zkpYZ//wBJDznTPvIpjJW0KiNJr/e2aZlRvdvh8+TkJYZ3c/dSUmTycuBs2mZsWS1pLTM5MfMV1pmts9Bt+/M7tMyklMbLQWZ2oRRvwKiaZmTWFjnhEpJy6xAWClMzySmZZ6emMKCmiq8MRZCi7saUMDQaAgLaqswPDGFxe5qzMwoHA8E0ZyUlukfmURjJC2zqc4JV6UDxwNBNNZWYSw0jUX11XBVVuDMRAhVpZmWmfZJlGr71MmUlpntGJ2PtMwyHY/nNIaKCK776jNzqsADH78M6T6f291c90GxP38g7/sgbRtNO7kDABHZq5TqMlspEfkugHcAWARgEMDtAKoAQCn1lcjE8R7MhrOMA/hINpPGchv0yXbK9oMzFQ22UbI7Tu7Izji5myNO7go7ucvmIubPi8iblVK/M1MppdQHM9yvMHuBdCIiIiIiIpqjbCZ3lwD4ExE5AmAMs7NFpZTqzmvNiIiIiIiIKGvZTO7enfdaEBERERER0ZxknNwppY4AgIgsBlBaubZEREREREQlIuOlEERkk4gcBPAKgP8H4FUAP85zvYiIiIiIiMiEbK5z9w8ALgVwQCl1DoDLAfwmr7UiIiIiIiIiU7KZ3E0ppU4BcIiIQyn1NICePNeLiIiIiIiITMgmUOWMiNQD+AWAb4vICQCj+a0WERERERERmZHN5G4PZi8y/mkAfwLAA6A+n5UiIiIiIiIic7KZ3L1TKRUGEAbwDQAQkd681oqIiIiIiIhM0U7uROQvAfwvAOcmTeYaAPw63xUjIiIiIiKi7KX75e47mL3kwT8B+Ju45SNKqTfyWisiIiIiIiIyRTu5U0oFAAQAfHD+qkNERERERES5yOZSCERERERERGRznNwRERERERGVAE7uiIiIiIiISgAnd0RERERERCWAkzsiIiIiIqISwMkdERERERFRCeDkjoiIiIiIqARwckdERERERFQCOLkjIiIiIiIqAZzcERERERERlQBO7oiIiIiIiEoAJ3dEREREREQlgJM7IiIiIiKiEsDJHRERERERUQng5I6IiIiIiKgE5HVyJyIbRORlETkkIn9jcP+HRWRIRF6M/P1FPutDRERERERUqirzVbCIVAC4F8C7ABwF8DsR2aWU2pe06gNKqRvzVQ8iIiIiIqJykM9f7i4GcEgpdVgpFQLwPQCb87g9IiIiIiKispXPyV0bgNfjbh+NLEv2xyLSKyI/EJGlRgWJyA0isltEdg8NDeWjrkRzwjZKdsc2SnbG9kl2xzZKxaLQgSqPAFihlOoG8FMA3zBaSSl1n1KqRynV09zcPK8VJMoG2yjZHdso2RnbJ9kd2ygVi3xO7o4BiP8lbklkWYxS6pRSajJy8z8AvCmP9SEiIiIiIipZ+Zzc/Q5Au4icIyJOAB8AsCt+BRHxxd3cBGB/HutDRERERERUsvKWlqmUmhaRGwH8BEAFgK8ppfpFZBuA3UqpXQBuEpFNAKYBvAHgw/mqDxERERERUSnL2+QOAJRSjwF4LGnZ1rj/3wrg1nzWgYiIiIiIqBwUOlCFiIiIiIiILMDJHRERERERUQng5I6IiIiIiKgEcHJHRERERERUAji5IyIiIiIiKgGc3BEREREREZUATu6IiIiIiIhKACd3REREREREJYCTOyIiIiIiohLAyR0REREREVEJ4OSOiIiIiIioBHByR0REREREVAI4uSMiIiIiIioBnNwRERERERGVAE7uiIiIiIiISgAnd0RERERERCWAkzsiIiIiIqISwMkdERERERFRCeDkjoiIiIiIqARwckdERERERFQCOLkjIiIiIiIqAZzcERERERERlQBO7oiIiIiIiEoAJ3dEREREREQlgJM7IiIiIiKiEsDJHRERERERUQng5I6IiIiIiKgE5HVyJyIbRORlETkkIn9jcH+1iDwQuf+3IrIin/UhIiIiIiIqVZX5KlhEKgDcC+BdAI4C+J2I7FJK7Ytb7WMATiulVonIBwB8EcB1ZrcVDiu8emoMg8NBtLhdWNFUh+npMHqPB+AfDsLndqHD68bxkWBsHV99Nfr8w/APT8LrrkaHtwEHT45hIBCEz1ODVYtq0O8fxeDwJFrc1VjrrcNL/rHY+u3eOhzwj8XuX510e423DgcHx7Xb99Y70ecfia3f4a3HoZPjse13+NyorDw7956eDqN/IBC7f21LA44GJhKes8Mhc3rNyP6M2nqhX3ddncYnQgltvNPbgNoaJ4LBaewdCMT6UpfPA5erEhMTU9jrH46t3+V1o6amKqXtR/vGyEQQ++P63FpvHRpqXNrthkIzCWNCV6sHTmeFdrmunrr6pHttdPeZfT3z+frHl13rrERoZgaLG6pxZmwKkBlMTgsGhydxzqJaTIRmMDgyicUN1RgOTqGxxokKAV4/E0SLuxrVlUBoGujyeVBZ6TDcX0Rm6caIMxPBlPfjBTUujE1MJryPd3jrUVdTrV1uVT8lIiqkvE3uAFwM4JBS6jAAiMj3AGwGED+52wzg7yP//wGAe0RElFIq242EwwqP9/txy4MvIjgVhqvKga/+2UUYHA5h68N9sWXbNnXi3p8fxJFTE1jeVINPvKMdW3cZ39+z3INre5Zr77/y/EW4Ym2r9v7o7Z/tP44n9p3MaXvbt3Riy7o2VFY6MD0dxs49x3DbzrjHb+7Eg787gt1HAnBVOXDntRdgQ4eXbzglzKitF/p119XpD1ctxI/6TqS0+Q2dzXi8byhl+Xs6m/Fjg+Xv61yMH+87kdD2t2/pxLvOb8ZPDNa/srMZT+jK7x9KHBM2d2JjRwse7R9MWf6+jsWG9d/Y2YLH9g2m1GdTVyt+9vIJw9cGgOE+unJtC57YP5j165nP19+o7L9971ocHhrDQf8ZrPYuwNZd/XjLOQuxocuH23f1x9a7aX07Htj9Gj7w5mXY8ewRnB4PYdumDgycHsUbYyEMB6fxdw8bj21E2ZqYmMIjff6s+7zZ5e/tbMYvDp2ecz8lIiq0fL67tgF4Pe720cgyw3WUUtMAAgCazGzk1VNjsUEXAIJTYYxMzMQ+rEWXbd3Vh43ds5vf2N0WG9iN7r/+spVp7/+TS89Je3/09p9cek7O27ttZx/6BwIAgP6BQOzDZOzxD/fh+stWxm7f8uCLePXUmJldR0XGqK0X+nXX1anfP2rY5l/yjxku369Z3u8fTWn7t+3sw8ua9Q+kKz95THi4D33+EcPluvr3+UcM69N7PKB9bbT7aED/GDP72orX36jsodFJ3L6rH1d0tGFrZDL34beeE5vYRde7+6mD2NjdhruePIirLloS2Vf9uHRVC6ZmVGxiF7+/omMbUbb2+odN9Xmzy/f5remnRESFVhRfnYrIDSKyW0R2Dw0NJdw3OByMDbpRY5PTKcuCU2GIRMtD2vsnMjz+9NhU2vujt8+MT81pe/5AEAAwEEh9jsGpMCZC0wm3T4wEQYWRro1axaitF/p119VpcHiyrJb707w2un2k69e613Our7/ZcTSsIpO8kbP3pRv74se0aL10Y3F0bCOKyjSGFqpvm+2nVLrm432eyAr5nNwdA7A07vaSyDLDdUSkEoAHwKnkgpRS9ymlepRSPc3NzQn3tbhdcFUlPo06V2XKMleVA/EHe6a7v7Y6/eMX1lVlVf6C2qo5bc/rcQEAfJ4aw/trnJUJtxc3uECFka6NWsWorRf6ddfVqcVdXVbLvWleG90+0vVr3es519ff7DhaIWfLj96XbuyLH9Oij9ONxdGxjSgq0xhaqL5ttp9S6ZqP93kiK+Rzcvc7AO0ico6IOAF8AMCupHV2AfjzyP+vBvCUmfPtAGBFUx3uvPaC2ODrqnKgwVWBbZs7E5Zt29SJR3tn55aP7DmGbZv093/jmcNp7//Wb15Je3/09rd/80rO29u+pRMdPg8AoMPnxvYtSY/f3IkdzxyO3b7z2guwoqnOzK6jImPU1gv9uuvq1OGtN2zz53nrDJev1Szv8NantP3tWzqxRrP+6nTlJ48JmzvR6W0wXK6rf6e3wbA+3a0e7Wuj3Uc+t6nXM5+vv1HZi+qrccemDvy0/xi2beqAq8qB//zVK7gj8v/oejetb8ejvcdw8+Xt+OHzRyP7qgO/OTSIKofgHzbrxzaibHV53ab6vNnl53ut6adERIUmJudS5goXeS+A/w2gAsDXlFJfEJFtAHYrpXaJiAvANwFcCOANAB+IBrDo9PT0qN27dycsiyZZnRgJYnFDYlpmNN2qM5JWGV0nmpZ5Ni1rNi3THwjC63Fh1aJaw7TM6O1s0zJ129elZUa33xFJmYuKJvRF71/b4sbRwETCc+bJ3fMi4042aqNWMWrrhX7ddXXKlJYZS7zLMi0zuW/kmpYZ7ZPdSWmZyct19dTVJ91ro7vP7OuZ5fo5tdHEtMwKTM2E0RxLywxjchoJaZknRibR3FCNkeAUPDVOVGZIy9SNbVSW0rZR3Rg6X2mZc+2nVPTm9D4vIrjuq8/MqQIPfPwy5PPzeb7NdR8U+/MH8r4P0rbRvE7u8iGfH5yJslDQyR1RFthGye5ymtwRzRNO7uaIk7vCTu749SkREREREVEJ4OSOiIiIiIioBBTdYZkiMgTgSKHrEWcRgJOFrkQadq8fYP86xtfvpFJqQ7qVM7RRuz/XfCi351zo5zvXNjofCr2PrMDnkLu0bTSufZbCPjaj3J4vYM/nXIrv83ark93qA9ivTunqk34MLbbJnd2IyG6lVE+h66Fj9/oB9q+jlfWz+3PNh3J7zuX2fHNRCvuIzyH/7F4/q5Xb8wVK8znb8TnZrU52qw9gvzrNpT48LJOIiIiIiKgEcHJHRERERERUAji5m7v7Cl2BDOxeP8D+dbSyfnZ/rvlQbs+53J5vLkphH/E55J/d62e1cnu+QGk+Zzs+J7vVyW71AexXp5zrw3PuiIiIiIiISgB/uSMiIiIiIioBnNzlSEReFZG9IvKiiOwudH2MiMgCEfmBiLwkIvtF5C2FrlOUiKyJ7Lvo37CIfKrQ9YonIp8WkX4R6ROR74qIaw5lLRWRp0VkX6TMm62sq92IiEtE/ltE9kSe7x2FrtN8EZEKEXlBRB4tdF3spJT6QCm8xjZ/f9ggIi+LyCER+ZtC1yffRORrInJCRPoKXZf5UCpjQaZ2KiLVIvJA5P7fisgKG9TpwyIyFPfZ6y/yWJe07Vpm3R2pa6+IXJSvupio0ztEJBC3f7bmuT4Z+0JO+0kpxb8c/gC8CmBRoevx/7d35tFW1dcd/3wDKCAIIjTBKRg1ZKlRRGpUDNWoWdEkoEuspqglsRkcm2WtTW2TGLVGMxhtbSROxdkqkYgSZ0VwRpBRFAVRMCQYrbOixN0/fvvC4XHfe/e+e+879x32Z62z7u/87u/s3z7n7N88nHZ0vBr4B3dvAvTPW6dW9OwG/BH4dN66ZHTaGngR6OXnNwPja5A3GBju7r7AYmDnvO+zgc9PQB939wCeAPbOW69OuvfTgBuAO/LWpZmOIqWBIrzjZi0fvDxYAnzG9ZrbVe2kinseBQwHFuStSyfdb5fPCyqxU+BEYIK7jwb+twl0Gg9c0knPqE27Bg4F7vT6wt7AE02g0/6dma9XkhY68pxi5K6gSOpHMuIrAczsQzN7I1elWudAYImZNdPH6QG6A70kdQd6A3/oqCAzW2lms939NrCI1IAsJJZ4x097+FH4Bb6StgG+ClyRty7NRlHSQBHecZOXD3sBL5jZUjP7ELgJGJOzTg3FzKYDr+etR2dRkLygEjsdQ+pEAZgEHChJOevUaVRg12OAa7y+8DjQX9LgnHXqVCpMC1U/p2jcdRwD7pE0S9J38lamDNsDrwL/49OHrpC0Wd5KtcLRwI15K5HFzF4BfgG8DKwE3jSze+oh26dm7EEazSosPnVtDrAKuNfMCn2/zkXAGcDHOevR1HTxNHARXf8dN3P5sDWwPHO+gq5X8Q8qpAvnBZXY6dowZrYGeBPYMmedAI7w6X2TJG3bQH3ao1nT+j6+pOROSbt0VqRtpIWqn1M07jrOfmY2HDgEOEnSqLwVakF30tDzpWa2B/Au0HRrFyRtAowGbslblyyStiD1lmwPbAVsJumYOsjtA/wW+L6ZvVWrvGbGzP5iZsOAbYC9JO2as0oNRdLXgFVmNitvXZqZrpwGCvSOu0T5EBSbrpwXdGFuB4aY2W7AvawbWQwSs0lLhHYH/gv4XWdEWu+0EI27DuIjO5jZKmAyaTi8mVgBrMiMlkwiFebNxiHAbDP7U96KtOAg4EUze9XMPgJuBfatRaCkHqTEe72Z3VoHHbsEPt3rQeArOavSaEYCoyUtI02H+ZKk6/JVqbkoQBooyjtu5vLhFSA7mrCN+wUFogB5QSV2ujaML+/oB7yWp05m9pqZrfbTK4A9G6hPezRdWjezt0pLSszs90APSQMbGWcFaaHq5xSNuw4gaTNJfUtu4MtAU+1yZWZ/BJZLGupeBwLP5KhSa3yDJpuS6bwM7C2pt8+RP5A0F7pDuIwrgUVmdmGddGxaJA2S1N/dvYCDgWdzVarBmNm/mtk2ZjaENNX4ATOrebS3KBQhDRTlHTd5+TAT2EnS9j6z42hgSs46BXWkCHkBldnpFODv3T2WlF80cu15uzq1WKs1mhrqNXVgCnCc7wa5N2n5y8oc9UHSp0rrIiXtRWonNaxBXmFaqPo5da+znhsLnwQm+/vvDtxgZnflq1JZTgGu90S+FPhmzvqshzeMDwa+m7cuLTGzJyRNIg3RrwGeBi6rQeRI4Fhgvq9DAzjTe4aKyGDgakndSJnjzWbWZbeND+rCxpYGmp2mLB/MbI2kk4G7Sbv/XWVmC3NWq6FIupG0S99ASSuAH5vZlflq1VC6fF7Qmp1KOht4ysymkCrt10p6gbSJx9FNoNOpkkaT6jWvk3bPbAjl7Jq0uRpmNgH4PWknyBeA9+iEPKgCncYCJ0haA7wPHN3gBnnZtABsl9Gp6uekxuocBEEQBEEQBEEQdAYxLTMIgiAIgiAIgqAAROMuCIIgCIIgCIKgAETjLgiCIAiCIAiCoABE4y4IgiAIgiAIgqAAROMuCIIgCIIgCIKgAETjrsmRtL+kDbaQb82/DvEdJmnnzPk0SSMquG5wPfTx76M142clgnboqE1K2so/O1Huv7X2J+nMjP8QSRV9W1LS9yUdV61eZeScLOlbtcoJ6oek8ZK2qiDcREljK/Wvg15hq8FaarXTCq77Xjm7ydqepGGSDs38d5ak0yuQLUkPSNq8Wr3KyLpP0ha1ygmaA0n9JZ3YCfGsVy8N2icad0FLDgM6kohOAy6vNXIzexVYKWlkrbKCroGZ/cHMKqnQnNl+kPWR1B34FnBD1YptyFWkb4MFzcN4oN1Kcw6ErQZZxtNAOzWzCWZ2TTvBhpG+lVUthwJzzeytDlzbkmuBhjcGgk6jP1W8T+8o6Ei74zA6Vi/daInGXY1I2kzSVElzJS2QdJT77ynpIUmzJN0tabD7T5N0saQ5Hn4v999L0mOSnpb0qKShVepwlaQn/fox7j9e0q2S7pL0vKSfZa45XtJiv+ZySZdI2hcYDfzc9dvBgx/p4RZL+mIrahwB3OWyu0n6hd/fPEmnuP8yST912U9JGu7PZomk72Vk/Q4YV+n9B5WRl616nLu5+2lJP3L32ZK+3aJ3uZekmyQtkjQZ6OX+5wO9XJfrXXQ3t92Fku6R1KtM9F8CZpvZGpezo/cez5U0W9IOSiOOD0m6TdJSSedLGuc2P7+UDszsPWBZ6TkE9cXt4FlJ1/v7nySpt/+3gY0qjXCMIH2Ie47bzo8kzXR7vUySqoi/rXRwQcs8UFJvSTdLekbSZElPSBoRtlpsOttOJf2VpFnu3l2SSdrOz5e4Ha4dhXMd5kqaC5zkfpsAZwNHuQ5Hufid3b6XSjq1FRXGAbdl9DlOqVyfK+la95so6VJJj7us/ZXqJIskTczImgJ8o8pHHjQv5wM7uE39StL9nlfN17p66BBJz0m6BlgAbCvph+73sKQbM7a7g1J9dZakGZI+p9brpUFbmFkcNRykRs3lmfN+pK/dPwoMcr+jgKvcPa0UHhgFLHD35kB3dx8E/Nbd+wN3lIl3rT9wHnCMu/sDi4HNSL2FS12nnsBLwLakHsRlwADXdQZwiV8/ERibiWca8Et3HwrcV0aX7YFZmfMTgEmZ+xngv8uAE9z9K2Ae0BcYBPwpc/3WwPy8323Rjhxt9QekSkY/YCZwt/s/CAwFhmRkn5aJfzdgDTDCz9/JyBzi/w3z85tLaaBF3D8BTsmcPwEc7u6eQG/X+w1gMLAp8ArwEw/zj8BFmev/DfinvN9lEQ9/pwaM9POrgNMrsNERGRkDMu5rga+7eyKZfC0TZiIwtoI4NsgDXbffuHvXsNWN48jJTheS8t2TSXnoOODTwGP+/1nA6e6eB4xy989Zl7eOx8v5zDWPuh0NBF4DepSJ+yWgr7t3IdUvBmbvw/W+CRAwBngL+DxpAGFWyfY97PPAlnm/xzjqlhZK9tUd2NzdA4EX3B6GAB8De/t/fw3M8Tytr9tDyXbvB3Zy9xeABzL2tUG6iKP1oztBrcwHfinpAlLFdoakXUmF/b3eIdcNWJm55kYAM5suaXNJ/UlGfrWknUgFR48qdPgyMFrr5s/3BLZz9/1m9iaApGdIBcJA4CEze939bwE+24b8W/13FimhtmQw8Grm/CBggnkPdCkeZ4r/zgf6mNnbwNuSVkvqb2ZvAKtozqlWXZ28bHUGcCrwIjAVONh7urc3s+ckDcmEHQX8p8c5T9K8NuS+aGZz3N2WbS4CkNQX2NrMJrv8D9wfYKaZrfTzJcA9fv184ICMvFXA59q536DjLDezR9x9Hclu7qJtG81ygKQzSA2hAaRK8e0VxDu0nTjK5YH7ARcDmNmCsNWNis6200eBkaT88TzgK6SK84xsIM+f+5vZdPe6FjikDblTzWw1sFrSKuCTwIoWYQZ4OQ1pdPkWM/szbFC2325mJmk+qbN2vuu0kGTvczxcqXx/rQ29gq6HgPMkjSI15rYm2RPAS2b2uLtHArd5nvaBpNsBJPUB9gVuyQxkb9pZyheNaNzViJktljSc1KN7rqT7gcnAQjPbp7XLypyfAzxoZod7ZXdaFWoIOMLMnlvPU/oCsDrj9Rc69s5LMlq7/n1Sg7IaWR+30O3jjOyeLjOoIzna6kzStKSlwL2kzoVvkyq5tdDStstNdavUNlvaYtZOszYfttlYytmbaNtGAZDUE/g1aYRkuaSzqDxfai+O9vLA9ghbLRadbafTgS+SOmdvA/7F45xaverrUUn9YI2kT5jZxxXKaqtsh7DLojKONAtrTzP7SNIy1tn1uxVc/wngDTMb1hj1Ni5izV2NKO2A9Z6ZXUeaAjEceA4YJGkfD9ND0i6Zy0prnfYD3vSRtX6kKTaQpk9Uw93AKaV5+5L2aCf8TOBvJG2htIj/iMx/b5NGZqphMev3RN8LfNdlI2lAlfI+S5qbHdSRvGzVzD4ElgNHAo+ReptPJ1VYWjId+DuPc1fS1MwSH0mqZkQb0kjIjq7H28AKSYe5/E19BLEawjYby3YlWyTZwcO0baPZ/KpUkfiz9wJXs+tge+mgHI8Af+vhdyZNQysRtlpsOttOZwDHAM97I+t1Uifdw9lAPvPlDc+vYf216x0p2yHd12fc/QBpDf6WUH3Z7nWUT5GWaARdn6xN9QNWecPuAFJHRDkeAb4uqafb/9cALG3Y86KkI2Ht5iu7l4knqIBo3NXO54EnJc0Bfgyc65XZscAFSoua55CGm0t8IOlpYAJwvPv9DPip+1fbM3wOaWrcPJ8CcU5bgc3sFdLUjidJCW0Z8Kb/fRPwz0obX1S0cNXM3gWWSNrRva4AXnZ95uKV9So4gNp7JIMNydNWZ5Ay/vfdvQ0tphQ5lwJ9JC0ibQCQHd27jGRT15e5rjXuJE1lKnEscKpPoXuUVNGohpGkzougMTwHnOTvfwvg0nZsdCIwwW16NWnH3gWkDq+ZlUZaQToox69JlflngHNJU+tK+WjYarHpVDs1s2WkkcFSh9jDpFGO/ysT/JvAf3tc2Y1aHiRtoJLdUKUSppLWemJmC4H/AB7ye7ywCjkAewKPl5ZsBF0bM3sNeERpQ7RhwAiflnsc8Gwr18wkLc+ZR8rz5rMu3xwHHO+2tZC0fhM6UC/d2JFZy9kFQSORNI20ePSpnPXoY2bv+OjaZNLC78k1yDucNBz/73XQbTowppWCK+gkmsVWa0Vp180zzOz5GuXsAZxmZsfWR7Mgi0/xvcPMds1bl0qQ1I20AcUHXuG4DxjqlfyOygxbbXK6mp3WitKusdeY2cF1kHUxMMXM7q9ds6Crkql/9iZ1WHzHzGbnrVeRiDV3Gy9nSTqINEXkHtLnBzqMmU0uTdWoBUmDgAujYRfUkR+QNquoqcJMWiv4w9rVCQpCb+BBn34p4MRaGnZO2GrQVJjZSqXPeGxutX/rbkE07ALgMp/K3hO4Ohp29SdG7oIgCIIgCIIgCApArLkLgiAIgiAIgiAoANG4C4IgCIIgCIIgKADRuAuCIAiCIAiCICgA0bgLgiAIgiAIgiAoANG4C4IgCIIgCIIgKADRuAuCIAiCIAiCICgA/w9REXZYFqoj2gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 900x900 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6dbe53e8",
   "metadata": {},
   "source": [
    "### Correlation matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "208e1c8f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.117570</td>\n",
       "      <td>0.871754</td>\n",
       "      <td>0.817941</td>\n",
       "      <td>0.782561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <td>-0.117570</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.428440</td>\n",
       "      <td>-0.366126</td>\n",
       "      <td>-0.426658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>petal length (cm)</th>\n",
       "      <td>0.871754</td>\n",
       "      <td>-0.428440</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.962865</td>\n",
       "      <td>0.949035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>petal width (cm)</th>\n",
       "      <td>0.817941</td>\n",
       "      <td>-0.366126</td>\n",
       "      <td>0.962865</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.956547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>target</th>\n",
       "      <td>0.782561</td>\n",
       "      <td>-0.426658</td>\n",
       "      <td>0.949035</td>\n",
       "      <td>0.956547</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   sepal length (cm)  sepal width (cm)  petal length (cm)  \\\n",
       "sepal length (cm)           1.000000         -0.117570           0.871754   \n",
       "sepal width (cm)           -0.117570          1.000000          -0.428440   \n",
       "petal length (cm)           0.871754         -0.428440           1.000000   \n",
       "petal width (cm)            0.817941         -0.366126           0.962865   \n",
       "target                      0.782561         -0.426658           0.949035   \n",
       "\n",
       "                   petal width (cm)    target  \n",
       "sepal length (cm)          0.817941  0.782561  \n",
       "sepal width (cm)          -0.366126 -0.426658  \n",
       "petal length (cm)          0.962865  0.949035  \n",
       "petal width (cm)           1.000000  0.956547  \n",
       "target                     0.956547  1.000000  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "24d6ebaf",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
